swget is available both as a standalone gui and a web portal
DESCRIPTION
Semantic Navigation on the Web with swget Valeria Fionda 1 , Claudio Gutierrez 2 , Giuseppe Pirró 1 1 KRDB, Free University of BOZEN-BOLZANO, Bolzano, Italy 2 DCC, Universidad de Chile, Santiago, Chile . s wget features. - PowerPoint PPT PresentationTRANSCRIPT
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Semantic Navigation on the Web with SWGET Valeria Fionda1, Claudio Gutierrez2, Giuseppe Pirro1
1 KRDB, Free University of BOZEN-BOLZANO, Bolzano, Italy 2 DCC, Universidad de Chile, Santiago, Chile
The graph nature of the Web of Data with
thousands of interlinked RDF data
sources needs navigational languages.
SWGET is available both as a standalone GUI and a Web portal.SWGET enables to write scripts containing navigational expressions written in NautiLOD.Scripts are represented in RDF and thus can be shared, modified and reused.You can instruct your Semantic Web agent and it will locate information of your behalf. The NautiLOD navigational language enables to:1. declaratively specify data sources in the Web of Data; 2. perform controlled navigation across data sources via ASK SPARQL
queries; 3. retrieve data along the navigational path;4. command actions during the navigation (e.g., send notification
messages).
SWGET features
StandaloneGUI
Webportal
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Biomedical Knowledge RepositoryBKR
A SW based application that helps biologists interactively study and explore the BKR.We developed the iExplore to1) visualize and navigate all the
possible semantic predications 2) search for interesting links
between concepts.
iExplore
• PubMed: 14M predications (facts) extracted from 21M abstracts by normalizing biomedical entities into Metathesaurus concepts
• UMLS: 12M predications in the Metathesaurus derived from 87 sources integrated in the UMLS
Available at http://knoesis.wright.edu/iExplore
• BKR Schema: 2M hierarchical concepts from Metathesaurus, and 650 relations from Semantic Network• BKR Instances: 26M predications from PubMed and UMLS
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LEAPS: A Semantic Web and Linked data framework for the Algal Biomass Domain
From Algae to Energy via Semantic Web and Linked data
LEAPS enables stakeholders in the algal biomass domain to interactively explore, via linked data, potential algal sites and sources of their consumables across regions in North-Western Europe for generation of bioenergy
Linked Entities for Algal Plant Sites
The first (known) application of SW/LD to Algal Biomass datasets
Monika Solanki, Birmingham City University, UK
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Smart-Aleck: An Interestingness Algorithm for Large Semantic Datasets
Kavi Mahesh & Pallavi Karanth, PESIT, India
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http://activehiring.labs.exalead.com
Revealing HR trends using LOD cloud
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X-ENS: Semantic Enrichment of Web Search Results at Real-TimePavlos Fafalios and Yannis Tzitzikas
Institute of Computer Science (ICS), Foundation for Research and Technology -Hellas (FORTH)
Try X-ENS: http://139.91.183.72/x-ens
query
resultsLOD
entities
SWC’12, Boston, USA
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Semantic Web Challenge 2012 | Alexander Seeliger and Heiko Paulheim | TU Darmstadt
A Semantic Browserfor Linked Open Data
LOD for end users –is that all we can do?
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Open Self Medication- Self Medication molecules are rated (from A to E) given a tolerance/efficient ratio.
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Semantic Web Challenge 2012 | Heiko Paulheim | TU Darmstadt
Browsing the Semantic Webwith Auto Complete
The Open World Assumption – do we really need to live with it?
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SEMANTIC WEB CHALLENGE
iPlant Semantic Web Platform uses SSWAP(Simple Semantic Web Architecture and Protocol)
to enable Semantic Pipelines acrossDistributed Web and High Performance Computing Resources
Live production platform (http://sswap.info) offering transaction-time OWL reasoning to discover, construct, and engage on-demand semantic pipelines of third-party semantic web services
Background image: Creative Commons NASA/NOAA/GSFC/Suomi NPP/VIIRS/Norman Kuring
UC Davis
Texas Advanced Computer CenterUniversity of Arizona
Gessler DDG, Bulka B, Sirin E, Kang Y, Klinov P, Vasquez-Gross H, Yu J, Wegrzyn J
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SELECT ?x WHERE { ?x rdf:type schema:Movie . ?x dbpedia:starring ?y . ?y rdf:type dbpedia:Athlete . ?y rdf:type dbpedia:MartialArtist}
0 Results !!!
Did you mean?SELECT ?x WHERE { ?x rdf:type schema:Movie . ?x dbpedia:starring ?y . ?y rdf:type dbpedia:Athlete }
1. Brian Lopes2. Hugo Soto3. ...
http://bit.ly/lodatio
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Use RailGB To Simplify Your Life
<sameAs>
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SSC Architecture
SSC Web-Based Platform
SSC CQELS/SPARQL Visual Editor
SSC Mobile App
SSC Web-socket
SSC MAIN FUNCTIONALITIEShttp://superstreamcollider.org
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Strabon
Wildfire Monitoring Using Satellite Images, Ontologies and Linked Geospatial Data
Greek Administrative Geogra
phy
National Observatory of Athens
Geonames
Corine Land Use Land Cover
Coastline
Linked
GeoData
GeoSPARQLstSPARQL
GREEK FIRE BRIGADE
GREEK CIVIL PROTECTION
AGENCYGREEK ARMY
SWeFS
National and KapodistrianUNIVERSITY OF ATHENS
K. Kyzirakos, M. Karpathiotakis, G. Garbis, C. Nikolaou, K. Bereta, M. Sioutis, I. Papoutsis, T. Herekakis, D. Michail, M. Koubarakis, and C. Kontoes
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SPUD- Semantic Processing of Urban Data
Documents +Metadata
Structure Entities Links Views Insight
Pay-as-you-go, Gain-as-you-go
VISIT SPYROS KOTOULAS & FREDDY LECUE @ DEMO + POSTER
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Tracking Movement and Attention of Crowds in Real Time Analysing Social Streams for London 2012 Opening Ceremony
The ProblemTo manage a big event requires tracking in real time the movement of crowds and if the event is capturing the attention of the audience
Our ApproachSocial Media AnalysisAdvantagesPervasive, and minimally invasive.
The Results http://streamreasoning.org/demos/london2012
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Exploring the Linked Data Cloud via Contextual Tag Cloud
For Billion Triples Challenge
Tags are ontological terms assigned to instances.
A context is a set of tags that defines a subset of instances.
In the Contextual Tag Cloud, the font size of each tag reflects the size of intersection between instances of the context and those of the tag.
Users can construct a context by clicking on tags or removing them
Tags of an instance can vary under different inference rules
Tag font sizes reflect sizes of intersections.
provides a more detailed summary of linkages beyond the LOD cloud diagram;
helps casual users explore a large scale dataset;
helps data providers find potential errors or missing links.
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“How we stood on the shoulders of SETI@home…
…and made it SEKI@home…”Search for Embedded Knowledge Items
Thomas Steiner (Universitat Politècnica de Catalunya, @tomayac)Stefan Mirea (Jacobs University Bremen, @stmirea)
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A need for connection…
Semantic Web Challenge - ISWC 2012 - Boston13/11/2012
Semantization of data (events, media, people) Reconciliation of sparse and highly heterogeneous data User-centric design: discovering, deciding and recommending Scalability, Caching and Optimization