: 688227 2015/12/01, deliverable 8.2 first dissemination ... · figure 1: actf sheet, december 2015...
TRANSCRIPT
Collaborative Project
Holistic Benchmarking of Big Linked DataProject Number: 688227
Start Date of Project: 2015/12/01, Duration: 36 months
Deliverable 8.2First Dissemination Report
Dissemination Level Public
Due Date of Deliverable Month 18, 31/05/2017
Actual Submission Date Month 18, 31/05/2017
Work Package WP8 - Dissemination
Task T8.1
Type Report
Approval Status Final
Version 1.0
Number of Pages 29
Filename D8.2_First_Dissemination_Report.pdf
Abstract: This deliverable discusses the dissemination actions taken and the results achievedfor the �rst 18 months period of the project.
The information in this document re�ects only the author's views and the European Commission is not liable for any use
that may be made of the information contained therein. The information in this document is provided "as is" without
guarantee or warranty of any kind, express or implied, including but not limited to the �tness of the information for a
particular purpose. The user thereof uses the information at his/ her sole risk and liability.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under
grant agreement No 688227.
D8.2 - v. 1.0
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History
Version Date Reason Revised by
0.1 27/03/2017 First Draft Christos Georgis (FORTH)
0.2 18/04/2017 Draft revised Irini Fundulaki (FORTH)
0.3 24/04/2017 Formatting and content revision Christos Georgis (FORTH)
0.4 01/05/2017 Formatting and content revision Irini Fundulaki (FORTH)
0.5 02/05/2017 Formatting and content revision, �-nal (up to M17) analytic updates
Christos Georgis (FORTH)
0.6 12/05/2017 Review and Feedback added Axel Ngonga (InfAI)
0.7 13/05/2017 Content revision according to the re-view and feedback given
Christos Georgis (FORTH)Irini Fundulaki (FORTH)
1.0 26/05/2017 Final Version Christos Georgis (FORTH)
Author List
Organization Name Contact Information
FORTH Irini Fundulaki [email protected]
FORTH Christos Georgis [email protected]
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Executive Summary
This report describes the dissemination activities of theHOBBIT project for the period from December1st, 2015 up to May 31st, 2017. The statistics presented were all gathered on May 1st, 2017. Thisreport includes information regarding the KPIs de�ned in the Description of Action of HOBBIT, andmore speci�cally:
• Activity of discussion in the mailing list(s)• Figures in social media channels such as Twitter and Slideshare• List of past events organised by HOBBIT• List of past events where members of the HOBBIT consortium participated in• Material that has been disseminated such as press releases, newsletters, fact sheets, benchmarkingreports and others
Finally, we also discuss the change of leadership in dissemination activities since ONTOS left theproject (April 2016) and how this has a�ected the overall dissemination activities.
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Table of Contents
1 Introduction 5
2 Workshops for HOBBIT Benchmarking challenges 5
2.1 Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.2 Challenge Dissemination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3 Raising awareness for HOBBIT 6
3.1 Initial Promotion: Press Releases, Newsletters, Flyers and Banners . . . . . . . . . . . 7
3.2 Online Presence: HOBBIT Website . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.3 Social Media Channels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.3.1 Twitter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.3.2 Slideshare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3.3.3 Bibsonomy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
3.3.4 ResearchGate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4 Scienti�c Dissemination 24
4.1 Workshop organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
5 Quality Contacts and Liaisons with Projects and Networks 26
6 HOBBIT Deliverables 26
7 Change of dissemination management 26
8 Meeting the expectations 28
9 Actions planned for M19 to M36 28
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List of Figures
1 Fact Sheet, December 2015 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2 HOBBIT Trifold Flyer December 2015 . . . . . . . . . . . . . . . . . . . . . . . 8
3 HOBBIT Trifold Flyer December 2016 . . . . . . . . . . . . . . . . . . . . . . . 9
4 HOBBIT Banner October 2016 (size: 100cm x 225cm) . . . . . . . . . . . . . . 10
5 HOBBIT Press Release (December 2016) and Newsletter (January 2017) 11
6 HOBBIT Website . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
7 HOBBIT Events Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
8 HOBBIT Website Analytics until M17 . . . . . . . . . . . . . . . . . . . . . . . 16
9 HOBBIT BlogPost 2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
10 HOBBIT Community Growth (Website subscribers) until M17 . . . . . . . 20
11 HOBBIT Twitter account monthly analytics until M17 . . . . . . . . . . . 20
12 HOBBIT Twitter account trimester analytics until M17 . . . . . . . . . . 21
13 HOBBIT SlideShare account analytics until M17 . . . . . . . . . . . . . . . . 21
List of Tables
1 HOBBIT Challenges 2017 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2 Mailing Lists . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3 HOBBIT Website Analytics by M17 . . . . . . . . . . . . . . . . . . . . . . . . . 16
4 HOBBIT Blogposts until M17 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
5 SlideShare presentations until M17 . . . . . . . . . . . . . . . . . . . . . . . . . 22
6 Bibsonomy publications until M17 . . . . . . . . . . . . . . . . . . . . . . . . . . 24
7 Academic and Industrial events attended by members of HOBBIT con-
sortium . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
8 Accepted Papers at BLINK 2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
9 HOBBIT related projects and networks . . . . . . . . . . . . . . . . . . . . . . . . . . 26
10 Deliverables created until M18 . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
11 Summary May 1st, 2017 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
12 Deliverables planned for M19-M36 . . . . . . . . . . . . . . . . . . . . . . . . . 29
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1 Introduction
The dissemination activities of HOBBIT according to the Description of Action are the following:
1. Workshops for benchmarking challenges2. Awareness raising and building for the project, community building & orchestration3. Promotion and market penetration of the HOBBIT Benchmarking Platform4. Training on the HOBBIT Benchmarking Platform5. Identi�cation and Contact of Big Data Component Vendors
These activities are strongly interconnected with the coordination and consolidation of the relevantcommunities in each phase of the Big Data value chain - the creation and establishment and mainte-nance of these communities play a crucial role for the success of the project.
2 Workshops for HOBBIT Benchmarking challenges
Workshops for benchmarking challenges play a crucial role in promoting the benchmarks developed byHOBBIT and will help in disseminating the results of the project both in academia and industry. Belowwe present brie�y the challenges that we have organised for evangelising the HOBBIT benchmarksand the actions taken to disseminate them.
2.1 Challenges
During the �rst 17 months of the project, the preparations for the challenges that would run during2017 have taken place. A thorough investigation of the existing challenges and workshops has beendone, in order to identify the most appropriate events during which HOBBIT challenges could takeplace. We ended up organising �ve di�erent challenges that will take place during three di�erentevents: ESWC 2017,1 ISWC 20172 and DEBS 2017.3
In particular, we are organising the challenges as shown in Table 1.
Challenge Conference Link
Mighty Storage Challenge (MOCHA) ESWC 2017 https://goo.gl/y3BdKZ
Open Knowledge Extraction Challenge (OKE) ESWC 2017 https://goo.gl/SSMWFh
Question Answering over Linked Data (QALD) ESWC 2017 https://goo.gl/rEchja
Linking Benchmark for Spatial Data, Track inOM 2017, Instance Matching Track
ISWC 2017 https://goo.gl/mdPK1F
Grand Challenge DEBS 2017 https://goo.gl/gR2ktw
Table 1: HOBBIT Challenges 2017
A short description of the preparations for the challenges is given in "Deliverable 9.2.1- An-
1 ESWC: http://2017.eswc-conferences.org/2 ISWC: http://iswc2017.semanticweb.org/3 DEBS: http://www.debs2017.org/
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nual Public Report of the First Year",4 while more detailed descriptions are given in https:
//project-hobbit.eu/challenges/.
2.2 Challenge Dissemination
In order to disseminate theHOBBIT challenges for 2017 we have communicated the "Call for Systems"and "Call for Papers" invitations directly to more than 1,300 users who have been contacted forprevious challenges of the member of the consortium and up to 50 mailing lists presented in Table 2,as well as to DBWorld5 (an ACM SIGMOD resource for posting and browsing Calls For Papers inscience and technology �elds) and to WikiCFP.6 We also sent out the appropriate tweets for the "Callfor Papers" and "Call for Systems" at regular intervals.
[email protected] [email protected] [email protected]
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[email protected] [email protected] [email protected]
[email protected] dbpedia-discussion@lists.
sourceforge.net
[email protected] [email protected] [email protected]
[email protected] [email protected] [email protected]
[email protected] [email protected] ines-grupo-web@lists.
morfeo-project.org
[email protected] [email protected] [email protected]
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net
[email protected] [email protected].
fu-berlin.de
project-lamapun@jacobs-university.
de
project-mathweb@jacobs-university.
de
edu
[email protected] [email protected] [email protected]
[email protected] [email protected] [email protected]
Table 2: Mailing Lists
3 Raising awareness for HOBBIT
In order to raise awareness and build communities both from academia and industry around theHOBBIT activities we engaged in the following:
• the creation of HOBBIT project's website to advertise and promote the results of the project• the use of several social media channels namely Twitter, Slideshare, Bibsonomy and Reasearch-Gate
4 https://goo.gl/I5R48H5 https://goo.gl/WaZyyA6 WikiCFP (https://goo.gl/ogaxFw) is a semantic wiki for Calls For Papers in science and technology �elds; there
are about 50,000 CFPs on WikiCFP and over 100,000 researchers use WikiCFP each month.
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Press Release and Fact Sheet December 2015
HOBBIT Holistic Benchmarking of
Big Linked Data H2020 Research and Innovation
Grant Agreement No. 688227
Website http://projecthobbit.eu
Contact
Dr. AxelCyrille Ngonga Ngomo Institute for Applied Informatics Hainstraße 11, 04109 Leipzig
Germany Phone: +49 341 97 32362
[email protected]leipzig.de
New European project develops a holistic opensource platform and industrygrade benchmarks for benchmarking big linked data SUMMARY Big Data is one of the key assets of the future. However, the cost and efforts required for introducing Big Data technology in a value chain is significant. Mastering the creation of value from Big Data will enhance European competitiveness will result in economic growth and jobs and will deliver societal benefit. To facilitate the use of Big Linked Data, the European Union funds a research and innovation project called “HOBBIT”. A European consortium, led by the Institute for Applied Informatics (InfAI) e.V., aims to develop a holistic benchmarking platform for big linked data and corresponding industrygrade benchmarks. PREMISES A key step towards abolishing the barriers to the adoption and deployment of Big Data is to provide European companies with open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. Achieving this goal demands:
1. The deployment of benchmarks on data that reflects reality within realistic settings.
2. The provision of corresponding industryrelevant key performance indicators.
3. The computation of comparable results on standardized hardware. GOALS HOBBIT aims to address these tasks by means of a strong team composed of leading research institutes, large industry customers and innovative small and mediumsized enterprises. In particular, the consortium will aim to achieve the following goals:
1. Define benchmarks for domains of industrial relevance in Europe that make use of Big Linked Data.
2. Determine the key performance indicators for processing Big Linked Data by collaborating with stakeholders from industry and research.
3. Create an open benchmarking platform to evaluate the performance of stateoftheart systems on standardized hardware.
4. Organize yearly evaluation campaigns, using the platform and the industrydefined KPIs.
ABOUT HOBBIT HOBBIT is a project within the EU’s “Horizon 2020” framework program and started on December 1st, 2015. The consortium consists of InfAI (coordinator, Germany), Fraunhofer IAIS (Germany), FORTH (Greece), NCSR “Demokritos” (Greece), iMinds (Belgium), USU Software AG (Germany), Ontos AG (Switzerland), OpenLink Software (UK), AGT Group R&D GmbH (Germany) and TomTom (Poland). For more information, see http://projecthobbit.eu/
Figure 1: Fact Sheet, December 2015
• the publication of press releases in the languages of the consortium partners, brochures andbanners,
• and the authoring and presentation of papers, tutorials and workshops in major conferences andseminars related to benchmarking activities of HOBBIT.
3.1 Initial Promotion: Press Releases, Newsletters, Flyers and Banners
Printables: We created, published and disseminated for HOBBIT the following material:
• Fact Sheet: we created and published a fact sheet on the project's website (see Figure 1).• Trifold Flyer: we created and distributed versions of trifold �yers in December 2015 andOctober 2016 (see Figures 2 and 3).
• Banner: a banner was created for promoting HOBBIT and its results in October 2016 (seeFigure 4).
Press Releases: We have published 4 Press Releases in the languages of all the members of theconsortium i.e, Greek, German, Polish and Dutch on the project's website and republish them onother paper/electronic press media. More speci�cally,
1. In February 2017 a press release that presented the results of HOBBIT after one year waspublished in the Greek Business and Technology magazine NETWEEK.7
7 https://goo.gl/mleHK3
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Figure 2: HOBBIT Trifold Flyer December 2015. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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Figure 3: HOBBIT Trifold Flyer December 2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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HOLISTIC BENCHMARKING of Big Linked Data
Project coordinator
Dr. Axel-Cyrille Ngonga Ngomo (InfAI)Agile Knowledge Engineering and Semantic Web (AKSW) group leader
Augustusplatz 10, room P90504109 Leipzig, Germany
Tel.: +49 341 97 [email protected]
http://project-hobbit.eu
Benchmarks aim to support software solution choosing by:
1. providing meaningful performance indicators,2. beingbasedondatathatreflectstherealityand,3. the use of standardised hardware to the comparison of results.
HOBBIT
1. develops benchmarks for the complete Linked Data lifecycle2. basedonrealdatathatreflectsreal use case scenarios and,3. collects and provisions corresponding industry-relevant key
performance indicators (KPIs)4. ensures comparable results by using standardised hardware.
How can your organfisation benefit from HOBBIT?
Technology Users:FindLinkedDatasolutionsthatfityour requirements and KPIs.Solution Providers: Evaluate your frameworks against a broad array of datasets and get automatic diagnostics.Researchers: Benchmark your solution against multiple reference datasets and frameworks and get stable URIs for your publications.
@project-hobbit
Get Involved and join the community!
This project has received funding from the European Union‘s H2020 research and innovation action program under grant agreement number 688227. The project runtime is December 2015 until November 2018.
Figure 4: HOBBIT Banner October 2016 (size: 100cm x 225cm). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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(a) (b)
Figure 5: HOBBIT Press Release (December 2016) and Newsletter (January 2017)
2. In December 2016, we published the Learn more about HOBBIT achievements and next steps
press release in English and Greek at the Website of FORTH.8
3. In December 2016, we published press release "HOBBIT so far. HOBBIT is one year old! .
Learn more about HOBBIT achievements and next steps" in German, English, Greek, Polishand Dutch9 (see Figure 5a).
4. In August 2016, we published press release "The HOBBIT Benchmarking Platform around
Linked Big Data and upcoming evaluation campaigns" in English and Greek at FORTH-ICSwebsite.10
5. In April 2016 an article about HOBBIT appeared in ERCIM News Issue No 105,11 in "Specialtheme: Planning and Logistics".
6. In April 2016, we published the press release "Learn more about HOBBIT Benchmarking Plat-
form around Linked Big Data and upcoming evaluation campaigns" in English, German andGreek.12
7. In March 2016, Axel Ngonga presented HOBBIT13 in a news article entitled Leipziger Infor-matiker ist einer der besten Nachwuchsforscher Afrikas where he took part in the "Next EinsteinForum".
8 https://goo.gl/7g1zEs9 https://goo.gl/JJGoSC
10 https://goo.gl/onqd8e11 https://goo.gl/RSpGKc12 https://goo.gl/VrpKiz13 https://goo.gl/AccnKX
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8. In March 2016, HOBBIT was mentioned in the Greek magazine NETWEEK in the contextof an article on the Greek Research Centres entitled "Greece Research Centres: Believe or not,
research.14
9. Finally, in December 2015, we published press release "New European project develops a holistic
open-source platform and industry-grade benchmarks for benchmarking big linked data." in En-glish, German, Greek, Polish, Dutch and Spanish. The press release appeared in the Universityof Leipzig Website15 and FORTH Website.16
Newsletters: We have published 3 Newsletters to promote the results of HOBBIT to the academicand industrial communities.
• Issue of January 2017, on Upcoming Events and Challenges17 (see Figure 5b)• Issue of December 2016, on HOBBIT so far. What's next for HOBBIT18
• Issue of November 2016, on HOBBIT 1st Survey results19
3.2 Online Presence: HOBBIT Website
The HOBBIT Website is available at http://project-hobbit.eu/ since the project's launch an-nouncement (December 2015) and provides the following information:
• Structure, namely the WorkPackages, Milestones, Deliverables and Publications• Outcomes, namely the HOBBIT platform and benchmarks• Challenges
• Events organised by HOBBIT or where HOBBIT consortium members participated in.• Participation in HOBBIT
Below we provide a thorough analysis of the contents of each page of the Website:
• Home page: Main page that contains the latest BlogPosts and on the side bar displaying thelatest tweets along with project partners logos. Project funding information is shown in thebottom of the page along with an invitation form to join the HOBBIT community and a link toprojects FAQ page (see Figure 6).
• The Project (menu): Includes a short description of the project and its objectives and has foursubmenus/subsections: (1) Work-packages, (2) Milestones, (3) Deliverables and (4) Publications.
• Challenges (menu): Includes a short description of the project current challenges and hasfour submenus/ subsections one for each of the challenges that redirect to the actual challengedescription page.
• Press (page): Includes a short description with all relevant material for the press such asNewsLetters, Press Releases, other printable material and projects logos.
• Next Events (page): Displays a list of the future events where HOBBIT team participates,along with a small description for each event and links to more detailed page presenting theevent. Provides a search to both past and future events where HOBBIT team participates orparticipated in (see Figure 7).
• Join the HOBBIT community (menu): Includes a general invitation form to join theHOBBIT community and three submenus: invitation pages according to the user pro�le: 1)Technology user, 2) Solution provider and 3) Scienti�c community member.
14 https://goo.gl/aPk3BD15 https://goo.gl/axavWk16 https://goo.gl/CPQyH217 https://goo.gl/fDBH2S18 https://goo.gl/kHiI8T19 https://goo.gl/eS5jyf
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Figure 6: HOBBIT Website. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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Figure 7: HOBBIT Events Page
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• Contact (menu): Includes the four main contacts that are listed along with their responsibilitiesin the project and has one submenu/subsection: 'Partners', a list of all partners and their maincontact persons involved in the project.
Website platform technology: The HOBBIT Website went live on December 7, 2015. Itwas created using WordPress20 using initially the "Catch Everest" theme and was hosted at https://www.hosttech.ch/. WordPress allows one to select various themes and customise those to thespeci�c needs of the project. HOBBIT Website is tailored towards extensibility and dynamic contentprovision. In particular, one of the most dynamic parts of the Website content is the section pertainingto BlogPosts and tweets.
During M3 HOBBIT Website underwent a major "face lift", in order to be more attractiveto the community, by using and customising the "Minimise Pro" WordPress theme. During M9HOBBIT Website has been moved (due to ONTOS leaving the consortium) and is currently hostedby INFAI. The BlogPosts published by HOBBIT consortium members can be seen on Home Pageand all tweets related to HOBBIT (@hobbit_project) are presented in the sidebar widget 'TwitterActivity'. Moreover, we use the Google Analytics plugin to measure Website tra�c. Finally we haveintegrated forms for registration to the HOBBIT community mailing lists. Overall, the informationpresented in the Website is organised in 30 content pages.
HOBBIT Community Mailing list: One of the core new features added to the Website is thepossibility of contacting people from academia and industry in order to invite them to the HOBBITassociation that will be established by the end of the project. This is made through di�erent embed-ded forms placed in strategic places in HOBBIT Website. Users can get involved in the HOBBITcommunity using one of the three possible pro�les available:
• Use Case providers: can be chosen by those that use or are interested in introducing LinkedData technologies into their business
• Solution providers: can be chosen by users interested in evaluating their technology productsusing the HOBBIT benchmarks
• Scienti�c partner : can be chosen by scientists working in the development of new approacheswithin the Linked Data Lifecycle.
The emails collected in the Website are automatically sent to a Mailing list created in MailChimpservice,21 a collaborative tool for creating professional email based marketing campaigns that o�ersseveral features to measure the e�ectiveness of the campaigns. MailChimp was also used to contactpeople for gathering requirements and collecting KPIs as well as later on in the project to communicatecalls for participation regarding the HOBBIT Challenges.
Measurable Criteria for Success of Communication Activities: HOBBIT consortiummembers publish 2 BlogPosts per month on topics related to the project's activities, thereby reachingby M17 of the project in total 33 blogposts.
In Table 3, we summarize the analytics of the HOBBITWebsite, during the �rst 17 months of theproject. We had 8,626 sessions by 4,630 users (4,630 user distinct IP addresses) and had 21,395 pageviews. The bounce rate average22 was 59.62% for the total period (while for the last 90 days it was evenlower: 58.26%) and 1,735 pages resulted as organic search results.23 Finally, 2.48 pages were accessed
20 https://wordpress.com/21 http://mailchimp.com/22 Bounce rate represents the "percentage of visitors who enter the site and then leave ("bounce")" rather than
continuing on to view other pages within the same site and is a measure of the e�ectiveness of a website). It is expressedas a percentage and represents the proportion of visits that end on the �rst page of the Website that the visitor sees.
23 Organic search results are "listings on search engine results pages that appear because of their relevance to the
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#Sessions #Users #Page Views
8,626 4,630 21,395
Bounce Rate Organic Search #Pages/Session
59,62% 1,735 2.48
Time Spent on Page Page Load Time Session Duration
00:01:52 00:00:10 00:02:46
#Subscribers
92
Table 3: HOBBIT Website Analytics by M17
per session, while the user spent an average of 1:52 min on each page. Finally, we have 92 subscribersto the HOBBIT Website (see Figure 10). Summarizing, the Website dissemination performance issatisfactory and we believe that we have reached the objectives set out in the Description of Action.
Figure 8: HOBBIT Website Analytics until M17
Figure 8 shows the analytics for the period December 2015 to April 2017 regarding the evolutionof the (a) number of sessions, (b) number of users, (c) number of page views and (d) bounce rate. From
search terms", as opposed to their being advertisements. In contrast, non-organic search results may include pay perclick advertising.
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the graphs we can see that the visits to the site show a continuous increase from September 2016 whenwe started announcing the organisation of the HOBBIT challenges with the bounce rate decreasing,since interested parties started navigating in the site in order to �nd relevant information.
On the Website, we publish mainly BlogPosts, Press Releases, and Newsletters. Since so far thereis no benchmark-related information yet, no HOBBIT platform available, nor benchmark challengesresults, we consider this "lack of more enthusiasm" as quite reasonable. We expect our numbers toget bigger as soon as the HOBBIT platform and the benchmark challenges results are available. InFigure 8 one can see a steady raise in number of sessions, users and page views, with a signi�cantincrease during September and October 2016 (when ISWC 2016 conference took place) and a majorincrease during December 2016 and January 2017 when HOBBIT challenges were being disseminated.This �nding shows that events such as conferences and workshops and dissemination of Call for Papershave signi�cant impact in the raise of awareness for the project.
HOBBIT Blogposts: A number of Blogposts authored by members of the HOBBIT consortium,on di�erent topics were published in the project's Website (see Figure 9). In Table 4 we present theblogposts, the responsible partner and the date of publication.
3.3 Social Media Channels
To support the presence, awareness and community building, the results of HOBBIT have beendisseminated in the following social media channels: (a) Twitter, (b) Slideshare, (c) Bibsonomy and(d) ResearchGate. In this section we will provide information about the activities regarding theaforementioned channels until M17.
3.3.1 Twitter
A HOBBIT Twitter account under https://twitter.com/hobbit_project/ (@hobbit_project) wascreated with the beginning of the project. This channel is used to provide up-to-date information onHOBBIT project activities and events the members of the HOBBIT consortium are participating in.The short message system has the potential to reach a large audience. All partners already use theirTwitter accounts to retweet or to point to our channel. For maximising our activity in Twitter we havethree strategies:
• scheduled tweets: we tweeted one post at least per day with news of HOBBIT as well as postsfrom BenchmarkingWeekly.24
• retweeting : request speci�c followers who have an important amount of followers to retweet ourtweets: @aksw, @OpenLink, @Horizon2020funding, @OpineMediaGroup, @BigDataBlogs.
• collaboration: by using TweetDeck, a tool for managing twitter accounts, we are able to haveconsortium members as active contributors to the HOBBIT Twitter account (i.e., contributorsare able to tweet on behalf of @hobbit_project).
From M1 to M17, we tweeted 560 posts, we have 408 followers and we reached more than 420,000impressions25 in total and more than 10,500 pro�le visits.
24 http://paper.li/25 Twitter impressions can be described as a post or a tweet delivered to a Twitter account. The impressions are
however di�erent from tweet counts, they are related to interaction or engagement after the tweet has been delivered.Tweet count is the total number of tweets sent by an account, whereas the impression are the tweets sent that actuallygenerate interaction or replies from others on Twitter
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Figure 9: HOBBIT BlogPost 2016
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Title Author Date
Project Start on December 2015 ONTOS 1-Dec-2015
HOBBIT Kicko� ONTOS 20-Jan-2016
Why Join the HOBBIT Community? ONTOS 9-Feb-2016
Big Linked Data Benchmarking Survey iMinds 21-Feb-2016
4th Workshop on Graph-based Technologies and Applications ONTOS 10-Mar-2016
The Roots of HOBBIT: GERBIL ONTOS 11-Mar-2016
Upcoming Evaluation Campaigns powered by HOBBIT technologies, almost InfAI 7-Apr-2016
Initial Data Management Plan Drafted! iMinds 15-Jun-2016
HOBBIT @ EDF FORTH 19-Jun-2016
HOBBIT @ ESWC iMinds 20-Jun-2016
Preliminary Survey Results iMinds 20-Jun-2016
Benchmarking RDF Query Engines - A mini survey FORTH 4-Aug-2016
Special issue on Benchmarking Linked Data @ Semantic Web journal FORTH 11-Aug-2016
HOBBIT @ ACL 2016 NCSR 1-Sep-2016
Versioning for Big Linked Data: approaches and benchmarks FORTH 15-Sep-2016
HOBBIT's potential for enabling the business value of IoT AGT 15-Oct-2016
HOBBIT and IT Management: the AGT International perspective AGT 20-Oct-2016
HOBBIT and IT Management: the USU perspective USU 29-Oct-2016
HOBBIT @ ISWC 2016 FORTH 14-Nov-2016
Linking Benchmark for Spatial Data - Presentation in OM 2016 FORTH 21-Nov-2016
HOBBIT: Quo Vadis? NCSR 1-Dec-2016
HOBBIT @ Apache Big Data Europe 2016 InfAI 15-Dec-2016
HOBBIT and IT Management: the TOMTOM perspective TOMTOM 11-Jan-2017
Mimicking Twitter Data for Benchmark Generation InfAI 24-Jan-2017
Industry-driven KPIs: The AGT Perspective AGT 27-Feb-2017
HOBBIT: 15 months and counting NCSR 28-Feb-2017
Industry-driven KPIs: The USU Perspective USU 7-Mar-2017
Big Data Analytics: Approaches and Benchmark AGT 20-Mar-2017
Reaching the HOBBIT Community iMinds 6-Apr-2017
Benchmarking Versioning Systems with SPBv FORTH 15-Apr-2017
Data Storage: approaches and benchmark OPENLINK 1-May-2017
Question Answering: approaches and benchmark Fraunhofer 15-May-2017
HOBBIT collaborates with Eurostars project DIESEL InfAI 26-May-2017
Table 4: HOBBIT Blogposts until M17
In Figure 11 we present the twitter account monthly analytics, while in Figure 12 we present thesame data per trimester. In general, we see an increase in the number of impressions, likes, and pro�levisits around major events such as ESWC 2016 (June 2016), EDF 2016 (July 2016), and ISWC 2016
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Figure 10: HOBBIT Community Growth (Website subscribers) until M17
Figure 11: HOBBIT Twitter account monthly analytics until M17
(October 2016) where members of the HOBBIT consortium organised and participated in events.We were able to maintain those numbers for the following months when we started disseminatingthe HOBBIT Challenges in the Social Media Channels. This �nding shows that the disseminationof conferences, workshops and Call for Papers have signi�cant impact in raising awareness for theproject. From those results we can see that the dissemination strategy we followed regarding Twitterwas successful and helped us reach the objectives set out at the Description of Action.
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Figure 12: HOBBIT Twitter account trimester analytics until M17
Figure 13: HOBBIT SlideShare account analytics until M17
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No Date Description Venue Place Partner
1 25.02.2016 Case Study Energy management in the production in-dustry - potential savings with data-oriented analysisand Big Data technologies (v1, v2)
Big Data Summit Hanau, Ger-many
AGT
2 03.03.2016 Holistic Benchmarking of Big Linked Data(HOBBIT)
4th Graph-TA Barcelona,Spain
FORTH
3 04.03.2016 Benchmarking Versioning Systems for Big LinkedData
4th Graph-TA Barcelona,Spain
FORTH
4 28.05.2016 Some Thoughts on OWL-Empowered SPARQL QueryOptimization
ESWC 2016 Crete, Greece FORTH
5 30.05.2016 A Tutorial on Instance Matching Benchmarks ESWC 2016 Crete, Greece FORTH
6 30.05.2016 Assessing the performance of RDF Engines: Dis-cussing RDF Benchmarks
ESWC 2016 Crete, Greece FORTH
7 30.05.2016 The Lazy Traveling Salesman Memory Managementfor Large-Scale Link Discovery
ESWC 2016 Crete, Greece InfAI
8 01.06.2016 HOBBIT Survey results ESWC 2016 Crete, Greece iMinds
9 01.06.2016 HOBBIT Project Overview @ ESWC HOBBIT
WorkshopESWC 2016 Crete, Greece InfAI
10 01.06.2016 HOBBIT at ESWC EU Networking Session ESWC 2016 Crete, Greece InfAI
11 01.07.2016 HOBBIT in a Nutshell - EDF2016 Post-EDF 2016Event
Eindhoven,Netherlands
InfAI
12 21.07.2016 Assessing your algorithms, tools, systems: benchmark,benchmark, benchmark!
Schloss Dagsthul Dagstuhl,Germany
FORTH
13 02.09.2016 An E�cient Approach for the Generation of Allen Re-lations
ECAI 2016 The Hague,Netherlands
InfAI
14 18.10.2016 Benchmarking Linked Data Introductory Remarks ISWC 2016 Kobe Japan InfAI,FORTH,NCSR
15 18.10.2016 Workshop Report Benchmarking Linked Data BLINK 2016 Kobe Japan InfAI,FORTH,NCSR
16 18.10.2016 Link Discovery Tutorial Introduction ISWC 2016 Kobe Japan InfAI,FORTH
17 18.10.2016 Link Discovery Tutorial Part I: E�ciency ISWC 2016 Kobe Japan InfAI,FORTH
18 18.10.2016 Link Discovery Tutorial Part II: Accuracy ISWC 2016 Kobe Japan InfAI,FORTH
19 18.10.2016 Link Discovery Tutorial Part III: Benchmarking forInstance Matching Systems
ISWC 2016 Kobe Japan InfAI,FORTH
20 18.10.2016 Link Discovery Tutorial Part V: Hands-On ISWC 2016 Kobe Japan InfAI,FORTH
21 18.10.2016 An RDF Dataset Generator for the Social NetworkBenchmark with Real-World Coherence
BLINK 2016 Kobe Japan iMinds
22 18.10.2016 Versioning for Linked Data: Archiving Systems andBenchmarks
BLINK 2016 Kobe Japan FORTH
23 18.10.2016 How well does your Instance Matching system per-form? Experimental evaluation with LANCE
BLINK 2016 Kobe Japan FORTH,InfAI
24 14.11.2016 HOBBIT presentation at Apache Big Data Europe2016
Apache Big DataEurope 2016
Sevilla, Spain InfAI
25 22.11.2016 TAIPAN: Automatic Property Mapping for TabularData
EKAW 2016 Bologna,Italy
InfAI
Table 5: SlideShare presentations until M17
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3.3.2 Slideshare
HOBBIT's SlideShare account under the name http://www.slideshare.net/hobbit_project is cre-ated to promote slides of talks and presentations related by members of the HOBBIT consortium.
We have uploaded 26 slides (see Table 5) and we have reached 6,777 views so far. In Figure 13we present SlideShare analytics until M17.
No Publication Venue Partner
1 Dealing with Data Quality in Smart Home Environments Lessons Learned from aSmart Grid Pilot. A. Leonardi, H. Ziekow, M. Strohbach, and P. Kikiras.
JSAN 5(1) 2016 AGT
2 E�cient Source Selection For SPARQL Endpoint Query Federation, M. Saleem. PhD, University ofLeipzig, 2016
InfAI
3 Techreport for GERBIL 1.2.2 - V1. M. Roder, R. Usbeck, and A. Ngonga Ngomo Leipzig University,2016
InfAI
4 Survey on Challenges of Question Answering in the Semantic Web, K. Ho�ner, S.Walter, E. Marx, R. Usbeck, J. Lehmann, and A. Ngonga Ngomo.
SWJ 2016 InfAI
5 Detecting Similar Linked Datasets Using Topic Modelling, M. Roder, A. NgongaNgomo, I. Ermilov, and A. Both.
ESWC 2016 InfAI
6 Federated Query Processing: Challenges and Opportunities, A. Ngonga Ngomo,and M. Saleem. Keynote at PROFILES
ESWC 2016 InfAI
7 HOBBIT Holistic Benchmarking for Big Linked Data, A. Ngonga Ngomo, andM. Roder. EU networking session
ESWC 2016 InfAI
8 Instance Matching Benchmarks for Linked Data. E. Daskalaki, M. Herschel, I.Fundulaki, and T. Saveta.
ESWC 2016 FORTH
9 Assessing the performance of RDF Engines: Discussing RDF Benchmarks. I. Fun-dulaki, and A. Kementsietsidis.
ESWC 2016 FORTH
10 DBtrends : Publishing and Benchmarking RDF Ranking Functions, E. Marx, A.Zaveri, M. Mohammed, S. Rautenberg, J. Lehmann, A. Ngomo, and G. Cheng.
SumPre 2016 InfAI,IAIS
11 UPSP: Unique Predicate-based Source Selection for SPARQL Endpoint Federation.E. Cem Ozkan, M. Saleem, E. Dogdu, and A. Ngonga Ngomo
PROFILES 2016 InfAI
12 LANCE A Generic Benchmark Generator for Linked Data. I. Fundulaki, T. Saveta,E. Daskalaki, G. Flouris, and A. Ngonga-Ngomo
EDF 2016 FORTH,InfAI
13 An E�cient Approach for the Generation of Allen Relations, K. Georgala, M.Sherif, and A. Ngomo
ECAI 2016 InfAI
14 Benchmarking Linking and Versioning Systems for Big Data. T. Saveta, I. Fundu-laki, and A. Ngonga Ngomo
womENcourage 2016 FORTH.InfAI
15 Requirements to Modern Semantic Search Engines. R. Usbeck, M. Roder, P. Haase,A. Kozlov, M. Saleem, and A. Ngomo
KESW 2016 InfAI
16 MEX Interfaces: Automating Machine Learning Metadata Generation. D. Esteves,P. Mendes, D. Moussallem, J. Duarte, A. Zaveri, J. Lehmann, C. Neto, I. Costa,and M. Cavalcanti.
SEMANTiCS 2016 InfAI,IAIS
17 DBtrends : Exploring Query Logs for Ranking RDF Data, E. Marx, A. Zaveri, D.Moussallem, and S. Rautenberg.
SEMANTiCS 2016 InfAI
18 Instance matching benchmarks in the era of Linked Data. E. Daskalaki, G. Flouris,I. Fundulaki, and T. Saveta.
Journal of Web Se-mantics 2016
FORTH
19 SPARQL Querying Benchmarks, M. Saleem, R. Usbeck, M. Roder, and A. NgongaNgomo. Tutorial
ISWC 2016 InfAI
20 Scalable Link Discovery for Modern Data-Driven Applications, K. Georgala. ISWC 2016, DoctoralConsortium
InfAI
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21 How well does your instance matching system perform? Experimental evaluationwith LANCE. Tzanina Saveta, Evangelia Daskalaki, Giorgos Flouris, Irini Fundu-laki and Axel-Cyrille Ngonga Ngomo.
BLINK 2016 InfAI,FORTH
22 Versioning for Linked Data: Archiving Systems and Benchmarks. Vassilis Pa-pakonstantinou, Giorgos Flouris, Irini Fundulaki, Kostas Stefanidis and GiannisRoussakis.
BLINK 2016 FORTH
23 An RDF Dataset Generator for the Social Network Benchmark with Real-WorldCoherence. Mirko Spasic, Milos Jovanovik, Arnau Prat-Perez
BLINK 2016 Openlink
24 TAIPAN: Automatic Property Mapping for Tabular Data, I. Ermilov, and A.Ngonga Ngomo.
EKAW 2016 InfAI
25 RADON - Rapid Discovery of Topological Relations. M. Sherif, K. Dreÿler, P.Smeros, and A. Ngonga Ngomo
AAAI 2017 InfAI
26 PoDiGG: A Public Transport RDF Dataset Generator, Ruben Taelman, RubenVerborgh, Tom De Nies, and Erik Mannens
WWW 2017 iMinds
27 All That Glitters is not Gold � Rule-Based Curation of Reference Datasets forNamed Entity Recognition and Entity Linking, K. Jha, Roder, and A. NgongaNgomo
ESWC 2017 InfAI
Table 6: Bibsonomy publications until M17
3.3.3 Bibsonomy
We have created an account and group at Bibsonomy http://www.bibsonomy.org/group/hobbit
where we share publications of members of the HOBBIT consortium. We have uploaded 27 publica-tions and tagged them with the tag @projecthobbit. We have also integrated Bibsonomy into ourHOBBIT website, so they are automatically updated and presented in Publications page under TheProject menu. In Table 6 we present all publications, published in Bibsonomy, under this tag.
3.3.4 ResearchGate
We have created "HOBBIT Holistic Benchmarking of Big Linked Data" project at ResearchGate26
https://www.researchgate.net/project/HOBBIT-Holistic-Benchmarking-of-Big-Linked-Data,where we update paper references to papers that we author in HOBBIT (publications made underthe HOBBIT Project acknowledgement). We have 79 project references.
4 Scienti�c Dissemination
Members of the HOBBIT consortium have authored and presented 27 papers, posters, tutorials andgave keynote speeches to a number of Computer Science Workshops and Conferences. Table 7 presentsthe events members of the HOBBIT consortium actively participated in.27 In addition to the afore-mentioned events, members of the consortium have also published papers in Journals shown in Table 6.
26 ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions,and �nd collaborators
27 In the Table, W stands for workshop, C for conference, I for industrial conference.
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No Date Venue Type Place Website
1 February 2016 Big Data Summit I Hanau, Germany https://goo.gl/URb2c0
2 March 2016 4th Graph-TA C Barcelona, Spain https://goo.gl/ouZ64n
3 May - June 2016 ESWC C Crete, Greece https://goo.gl/QyvwIQ
4 May - June 2016 SumPre@ESWC W Crete, Greece https://goo.gl/k39TFp
5 May - June 2016 PROFILES@ESWC W Crete, Greece https://goo.gl/3yIeBm
6 July 2016 EDF I, C Eindhoven, Netherlands https://goo.gl/YF6WZf
7 July 2016 Schloss Dagstuhl W Dagstuhl, Germany https://goo.gl/V1xaR7
8 July 2016 DATA 2016 C Lisbon, Portugal https://goo.gl/G8CvdE
9 August 2016 ACL 2016 C Berlin, Germany https://goo.gl/J4SakZ
10 September 2016 ECAI C The Hague, Netherlands https://goo.gl/LK0RLr
11 September 2016 womENcourage C Linz, Austria https://goo.gl/WlygDV
12 September 2016 KESW C Prague, Czech Republic https://goo.gl/LsfT9G
13 September 2016 SEMANTiS 2016 C Leipzig, Germany https://goo.gl/FzN9On
14 October 2016 ISWC C Kobe, Japan https://goo.gl/XKSUoN
15 October 2016 BLINK@ISWC W Kobe, Japan https://goo.gl/3nb5gk
16 October 2016 Doctoral Symposium@ISWC W Kobe, Japan https://goo.gl/Qv7xbX
17 November 2016 Apache Big Data Europe I Sevilla, Spain https://goo.gl/NJROAp
18 November 2016 EKAW C Bologna, Italy https://goo.gl/F7RTyY
19 February 2017 AAAI C San Francisco, USA https://goo.gl/oCvoUp
20 April 2017 WWW C Perth, Australia https://goo.gl/ZFxAm0
21 May - June 2017 ESWC C Portoroz, Slovenia https://goo.gl/WjDJzK
Table 7: Academic and Industrial events attended by members of HOBBIT consortium
No Publication
1 V. Kotsev, N. Minadakis, V. Papakonstantinou, O. Erling, I. Fundulaki and A. Kiryakov. Benchmarking RDF
Query Engines: The case of Semantic Publishing Benchmark
2 M. Spasic, M. Jovanovik and A. Prat-Pérez. An RDF Dataset Generator for the Social Network Benchmark with
Real-World Coherence
3 T. Saveta, E. Daskalaki, G. Flouris, I Fundulaki and A.-C. Ngonga Ngomo. How well does your instance matching
system perform? Experimental evaluation with LANCE.
4 A. Troumpoukis, A. Charalambidis, G. Mouchakis, S. Konstantopoulos, R. Siebes, V. de Boer, S. Soiland-Reyesand D. Digles. Developing a Benchmark Suite for Semantic Web Data from Existing Work�ows
5 V. Papakonstantinou, G. Flouris, I. Fundulaki, K. Stefanidis and G. Roussakis. Versioning for Linked Data:
Archiving Systems and Benchmarks
6 D. Lanti, G. Xiao and D. Calvanese. Fast and Simple Data Scaling for OBDA Benchmarks
Table 8: Accepted Papers at BLINK 2016
4.1 Workshop organization
HOBBIT members also organized the 1st International Workshop on Benchmarking Linked Data(BLINK)28 that was held in conjunction with ISWC 2016. We received 7 paper submissions and weaccepted 6 papers shown in Table 8 out of which 3 publications are related to HOBBIT activities (arein grey background). The keynote speech was given by Dr Stasinos Kostantopoulos, entitled "Big-
DataEurope: Platform Concept and Architecture and its Application to Data-Intensive Science". The
28 https://project-hobbit.eu/events/blink-2016/
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workshop was very well attended (approximately 25 people attended the workshop), with participantsand organisers having interested discussions.
BLINK29 was also accepted and will be held in conjunction with ISWC 201730 in Vienna, Austria.
5 Quality Contacts and Liaisons with Projects and Networks
The industrial partners strive to promote the HOBBIT platform on various BLD related exhibitionsand conferences. Furthermore, the consortium will entertain a partner network for the promotion. Thegeneral goals are to identify companies that could
• attend the community driven requirements elicitation• participate in the benchmarking association but also• promote the benchmarking challenges and their results
We managed to contact through the di�erent channels of HOBBIT 83 academics and 126 peopleworking in industry. In Table 9 we provide the related projects of HOBBIT.
Project Name
BigDataValue.eu
Big Data Alliance
STI
BITKOM
LDBC
Industrial Data Spaces
CESSDA
Opine Media Group
Table 9: HOBBIT related projects and networks
6 HOBBIT Deliverables
The corresponding communication of produced deliverables to the appropriate channels was doneas soon as they are completed. Table 10 lists deliverables due in M18 and the intended dis-tribution channel. All public deliverables can be downloaded, from HOBBIT website (https://project-hobbit.eu/about/deliverables/), either individually as PDF �les, or all at once as aZIP �le.
7 Change of dissemination management
The HOBBIT dissemination activity was initially coordinated by ONTOS, which left the consortiumin M5. This activity is currently coordinated by FORTH.
29 https://project-hobbit.eu/events/workshop-on-benchmarking-linked-data-blink-2017/30 https://iswc2017.semanticweb.org/
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Number Title DueDate
Dissemination
D8.1.1 Initial Online Presence M01 Internally, Website, GitHub,Social Media, PR
D8.1.2 Project Fact Sheet, Press Releases and Online Presence M03 Internally, Website, GitHub,Social Media, PR
D9.1 Project Management Plan M03 Internally, Website, GitHub
D1.2.1 Requirements Speci�cation from the Community M06 Internally, Website, GitHub
D8.5.1 Initial Data Management Plan M06 Internally, Website, GitHub
D9.3 Quality Assurance & Risk Assessment Plan M06 Internally, Website, GitHub
D2.1 Detailed Architecture of the HOBBIT Platform M09 Internally, Website, GitHub
D1.1.1 Preliminary Community Member List, Use Cases, andDatasets
M12 Internally, Website, GitHub
D1.4 Reachout Strategy Plan M12 Internally, Website, GitHub,Social Media, PR
D9.2.1 Annual Public Report of the First Year M12 Internally, Website, GitHub
D2.2.1 First version of the HOBBIT Platform M15 Internally, Website, GitHub
D1.1.2 Intermediate community member list, use cases, and datasets M18 Internally, Website, GitHub
D1.3.1 Preliminary Association mission statement and business sce-narios
M18 Internally, Website, GitHub
D2.3.1 First Maintenance and Update report of the HOBBIT Plat-form
M18 Internally, Website, GitHub
D3.1.1 First Version of the Data Extraction Benchmark for SensorData
M18 Internally, Website, GitHub
D3.2.1 First Version of the Data Extraction Benchmark for unstruc-tured data
M18 Internally, Website, GitHub
D4.1.1 First version of the linking benchmark M18 Internally, Website, GitHub
D4.2.1 First version of the data analytics benchmark M18 Internally, Website, GitHub
D5.1.1 First version of the Data Storage Benchmark M18 Internally, Website, GitHub
D5.2.1 First version of the Versioning Benchmark M18 Internally, Website, GitHub
D6.1.1 First Version of the Question Answering Benchmark M18 Internally, Website, GitHub
D6.2.1 First Version of the Faceted Browsing Benchmark M18 Internally, Website, GitHub
D7.1 First preparations report M18 Internally, Website, GitHub
D8.2 First dissemination report M18 Internally, Website, GitHub
D8.5.2 Intermediate data management plan M18 Internally, Website, GitHub
Table 10: Deliverables created until M18
The departure of ONTOS costed the project a temporary decrease in the dissemination activitiesduring these months (M4, M5). As far as FORTH o�cially took over the dissemination coordinationin WP8 in May, 2016 and after coordinated actions, we started to have an increase in our analyticsin both Website and twitter account, as it is also shown already in Figures 8, 10, 11 and 12. Aturning point in time was the 13th ESWC 2016 that took place between May 29th and June 2nd,2016 in Heraklion, Crete, Greece where HOBBIT members presented 2 tutorials, had presentationsin the main conference as well as workshops and �nally, organised an event that was used to gatherrequirements for the benchmarks to be developed from the academic community.
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8 Meeting the expectations
In HOBBIT project "Description of Action" document, we have de�ned the measurable criteria forthe success of project communication activities, as follows:
• Activity of discussion in the mailing list(s) in terms of number of threads, posts and partic-
ipants. In addition to the project internal mailing list, we will have at least one public mailing
list for which we target 200+ members and 50+ posts per month
• Figures in social media channels such as the number of twitter followers, discussions in
LinkedIn or views in the respective SlideShare account - beside others to be de�ned. We aim tohave more than 1000 Twitter followers and more than 2500 SlideShare views.
In Table 11 we summarize the numbers about the criteria set above, and how we have met thesecriteria, according to our analytics. In the Table column "Measurable criteria" refers to criteria to bemet by the end of the project.
Measurable criteria project-hobbit.eu @project_hobbit HOBBIT @SlideShare
200+ members 92 subscribers, 4,630 users 10 followers
50+ posts per month 2 BlogPosts per month, 3Newsletters, 4 Press Re-leases, 21,395 page views
>34 tweets/per month(last 8 months avg), >34K impressions per month(last 8 months avg)
26 publications
1000 Twitter Followers 408 Followers
2500+ Slideshare views 6,777 total views on 26 pre-sentations
Table 11: Summary May 1st, 2017
• Website performance is very good, since the analytics of HOBBIT Website, have shown thatduring the �rst 17 months of the project: we had 8,626 sessions by 4,630 users (4,630 userdistinct IP addresses) and had 21,395 page views. The bounce rate average was 59.62% for thetotal period (while for the last 90 days it was even lower: 58,26%). 1,735 pages resulted asorganic search results. Finally, 2.48 pages were accessed per session, while the user spent anaverage 1:52 min on each page. We are more than satis�ed with these numbers as they speakfor a large number of interested parties visiting the Website and consuming its content. We willhence continue with our current dissemination policy in this respect.
• The Twitter channel has already attained 40.8% of the targeted 1000 followers. We are convincedthat the number of followers will grow considerably with (1) the release of the platform and (2)the challenges as well as (3) the use of the platform during the ISWC challenge.
• SlideShare performance is beyond expectation, since we already reached the expected target(even by month M11, October 2016))
9 Actions planned for M19 to M36
For the remaining 18 months of the project, we will continue our e�orts in raising awareness forHOBBIT and disseminating the results of the project. We have planned further dissemination activi-ties such as (a) the participation at major academic and industry events (ESWC, ISWC, WWW, EDFetc.) (b) publications at academic conferences and journals and (c) wide dissemination of HOBBITchallenges. Table 12 lists the deliverables planned for period M19 to M36 and the intended distribution
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channel (social channels and mailing lists) for each deliverable. We will continue with the authoringand publication of scienti�c articles that will also be disseminated through the appropriate channels.
In addition, and for the remaining 18 months of the project, we will continue to update theHOBBIT Website by publishing BlogPosts, Newsletters as well as information about the project'sresults. We will focus speci�cally on the dissemination of the HOBBIT's benchmarks and challengeresults. Furthermore we will create videos with tutorials and demos about HOBBIT's platform andbenchmarks.
Number Title DueDate
Dissemination
D9.2.2 Annual Public Report of the second year M24 Internally, Website, GitHub
D1.1.3 Final community member list, use cases, and datasets M24 Internally, Website, GitHub
D7.2.1 First workshop organization report M26 Internally, Website, GitHub
D7.1.1 First workshop proceedings M26 Internally, Website, GitHub
D7.4.1 First challenge evaluation M26 Internally, Website, GitHub
D7.3.1 First challenge results overview M26 Internally, Website, GitHub
D2.2.2 Second version of the HOBBIT Platform M27 Internally, Website, GitHub
D1.2.2 Requirements speci�cation from the association M27 Internally, Website, GitHub
D7.3 Second preparations report M30 Internally, Website, GitHub
D6.1.2 Second Version of the Question Answering Benchmark M30 Internally, Website, GitHub
D3.1.2 Second Version of the Data Extraction Benchmark for SensorData
M30 Internally, Website, GitHub
D3.2.2 Second Version of the Data Extraction Benchmark for un-structured data
M30 Internally, Website, GitHub
D6.2.2 Second Version of the Faceted Browsing Benchmark M30 Internally, Website, GitHub
D4.1.2 Second version of the linking benchmark M30 Internally, Website, GitHub
D5.2.2 Second version of the Versioning Benchmark M30 Internally, Website, GitHub
D4.2.2 Second version of the data analytics benchmark M30 Internally, Website, GitHub
D5.1.2 Second version of the Data Storage Benchmark M30 Internally, Website, GitHub
D7.2.2 Second workshop organization report M34 Internally, Website, GitHub
D1.3.2 Final Association mission statement and business scenarios M34 Internally, Website, GitHub
D7.4.2 Second challenge evaluation M34 Internally, Website, GitHub
D7.4 Second workshop proceedings M34 Internally, Website, GitHub
D7.3.2 Second challenge results overview M34 Internally, Website, GitHub
D8.4 Standardization report M36 Internally, Website, GitHub
D8.5.3 Final data management plan M36 Internally, Website, GitHub
D2.3.2 Second Maintenance and Update report of theHOBBIT Plat-form
M36 Internally, Website, GitHub
D9.2.3 Annual Public Report of the third year M36 Internally, Website, GitHub
D8.3 Final dissemination report M36 Internally, Website, GitHub
Table 12: Deliverables planned for M19-M36
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