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Copyright 2010 Digital Enterprise Research Institute. All rights reserved.
Digital Enterprise Research Institute www.deri.ie
What I’m Working On: Social Semantic
Argumentation, Library Linked Data, Ontologies for Reading & Writing Science
Jodi Schneider
DERI Social Semantic Information Spaces Stream Meeting2010-12-13Galway, Ireland
Digital Enterprise Research Institute www.deri.ie
My Background
Liberal Arts - Great Books Math
Automatic theorem proving, Knot theory, PDE’s of traffic flow
Psychology Online identity - subpersonalities, image (Goffman) Self-surveillance, Persuasive uses of technology
(‘captology’) Libraries + technology
FRBR – what is a book? entity/relationship model Code4Lib – library technologists, digital librarians, semweb “library values for the Internet”
Hobbies tagging, radio, reading…
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DERI Hats
Ph.D. Student Argumentation on the Social Semantic Web
Standardization Work W3C Library Linked Data Incubator Group W3C Health Care & Life Sciences – Scientific Discourse
Task Force
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Argumentation
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Social Semantic Web
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WWW: Detect Contentious Issues
Ennals, R., Trushkowsky, B., & Agosta, J. M. (2010). Highlighting Disputed Claims on the Web. In WICOW at WWW 2010.
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Social Web: Summarize + Map
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Semantic Web: Use Arg Schemes
Zablith, F. (2007). ArgDF: Arguments on the Semantic Web (Master's). The British University in Dubai & The University of Edinburgh.
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Social Semantic Web: Analyze
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Different types of argument
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Types of argumentation sites
Issue networking Explore the agreements, disagreements, and rationales Get a view of the issues and possibilities
Funneling Brainstorm, categorize, vote, … Get to consensus
Reputation Compete to find the best answers Get experts, repository of answers
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Cognitive Coherence Relations
Polarity Positive vs. Negative
Source of coherence Semantic vs. Pragmatic
Type Addition or Cause or Sequence
Comparativeness Comparison vs. Concurring
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Cognitive Coherence Relations
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W3C Library Linked Data Incubator Group
“incubate” for 1 year Goal: Report on library adoption of Linked Data So far: 40+ use cases in clusters:
Bibliographic data Authority data Vocabulary alignment Archives & heterogeneous data Citations Digital objects
CKAN data collection
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W3C HCLS – Scientific Discourse Task Force Longterm, ongoing activity Goal: A SemWeb platform for biomedical
discourse Previous outcomes: SWAN, SWAN/SIOC Current focus:
Annotation Ontology – –provenance-aware– Mark and connect non-SemWeb docs
Models of Rhetorical structure– coarse-grained– middle-grained
Bibliographic Ontologies (align/integrate SWAN citations) “Scientific Article of the Future” – provenance, data,
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Ontology-aware reading?
http://www.ihop-net.org screenshot from Renear & Palmer. Science 2009: “Strategic Reading, Ontologies, and the Future of Scientific Publishing.” 325:828-832.
Digital Enterprise Research Institute www.deri.ie
Thank You!
Questions & Comments?