artefact-actor-networks at abis 2010

Modeling, obtaining and storing data from social media tools in Artefact-Actor-NetworksWolfgang Reinhardt, Tobias Varlemann, Matthias Moi, Adrian Wilke

University of Paderborn (Germany)Computer Science Education Group

Wolfgang Reinhardt, @wollepb, University of Paderborn (Germany)

Artefact-Actor-Networks

combination of

Social Networks

Artefact Networks

Social Media

E-Mail

Documents

goal

raise awareness about relevant people, topics and objects


Network of documentsNetwork in World Wide Web Consolidated artefact network I

Website A

Website B

Document C

Document D

(1) (2) (3)

D

CA

B

Consolidated artefact network IINetwork with bookmarksConsolidated artefact network I

Website B

Bookmark E

(1) (2) (3)


Consolidated actor networkActor network of company Private actor network

Person X

Person Y

Person X

Person Z

Person Z

Person X

Person Y

(1) (2) (3)

Consolidated artefact network II Consolidated actor network


Obtaining data


strong focus on Social Media tools

Twitter

Delicious

Scribd

SlideShare

Blogs

Wikipedia

Scientific paper

Upload, DBLP, CiteSeer

Where does the data comes from?


How do we extract data?

Java-based backend

OSGi-enabled

hot deployment

Jena framework

crawl, store, analyse

crawl and parse

store data

analyse data

<< component >>Crawling-Block

<< component >>DataStore-Block

<< component >>Analyser-Block


Storing data


Wiki

WikiArtefact

WikiActor

DATA

MediaWiki

MediaWikiCategory

MediaWikiArtefact MediaWikiActor

DATA

Web

Webartefact

DATADATA

AANBase

Keyword

Artefact

Actor

DATA

hasMediaWikiCategory:hasKeyword

editedArticle:hasArtefact

pageIDoid

userComment

previousVersion:isRelatednextVersion:isRelated

screenName

linksTo:isRelatedhasPart:isRelated

redirectedFrom

creationTime

knows

isRelated hasArtefact

hasKeyword

KeywordValue

Dublin Core

SIOCFOAF

SWRC


ONTOLOGIES

Semantic relations

ART2 relations

between artefacts

isReplyOf, linksTo, hasPart, isReplyTo, hasComment

ACT2 relations

between actors

isFriendOf, relatesTo, collaboratesWith,

AA relations

between artefacts and actors

creatorOf, contributorOf, discussantOf, forwarderOf, bookmarkerOf


Analyzing data


Used analyzers

Text analyzers

Orchestr8 - Alchemy API

OpenCalais

Semantic similarity

SemSim algorithm

TF-IDF

Cosine similarity


Applicationsthat make use of Artefact-Actor-Networks


0.73

0.73

0.73

0.15

0.36

0.15

0.38

3.04

0.11

0.17

0.42

1.31

0.91

0.56

0.28

0.5

0.29

0.66

7.0

0.78

1.61

0.11

0.16

0.75

0.11

0.56

0.28

0.5

0.29

0.66

7.0

1.44

0.17

0.28

0.28

0.24

0.35

0.45

5.29

0.17

0.73

0.32

2.77

0.73

0.5

0.5

0.24

0.25

0.8

8.87

0.42

0.16

0.63

0.42

0.151.05

0.71

0.97

2.53

0.69

0.36

0.29

0.29

0.35

0.25

1.05

1.05

1.67

0.46

9.3

0.15

0.71

1.05

0.97

0.34

0.38

0.32

0.97

1.67

0.97

0.7

0.66

0.78

0.66

0.45

0.8

0.46

10.78

0.73

3.04

1.31

7.0

1.61

0.75

7.0

1.44

5.29

2.77

8.87

0.63

2.53

9.3

0.34

0.7

10.78

1.31

0.73

0.91

0.11

0.17

0.42

1.31

0.73

0.73

0.73

0.69

0.5263157894736842

0.5714285714285714

0.5555555555555556

0.5714285714285714

0.5128205128205129

0.5405405405405405

0.5714285714285714

0.5

0.6060606060606061

0.5405405405405405

0.5714285714285714

0.5405405405405405

0.5882352941176471

0.6666666666666666

0.5714285714285714

0.5882352941176471

0.5882352941176471

0.9523809523809523

0.5555555555555556

0.5263157894736842

0.37735849056603776


Analysis of students’ Social Media use

What’s next?

deal with performance issues

1.5M Wikipedia articles & >> 4B RDF triples

Jena & SPARQL = no good

Reasoning & Inferencing of large data sets = ouch

Recommender Systems

Clustering

Advanced semantic similarity


Thank you for your attention

Wolfgang Reinhardt, @wollepbUniversity of Paderborn, Germany


artefact-actor-networks at abis 2010

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