Refereed Track: Semantic Web
Where is the Web in the Semantic Web?
The central idea of the Semantic Web is to extend the current human-readable web by encoding some of the semantics of web-resources in a machine-processable form. Moving beyond syntax will open the door to more advanced applications and functionality on the Web. Computers will be better able to search, process, integrate and present the content of these web-resources in a meaningful, intelligent manner.
In past Semantic Web tracks of the WWW conference, much good work was reported on the Semantic side of the "Semantic Web". Contributions came from many different fields such as Databases, Natural Language Processing, Machine Learning, Information Retrieval, Knowledge Representation, and others. This is important work that has laid the foundation for the Semantic Web.
In this year's Semantic Web track of the WWW Conference, we want to re-emphasize the Web aspects of the Semantic Web. We want to better understand how semantics can provide new levels of Web functionality, either for end users, or for designers and developers.
We solicit papers that advance our understanding of how semantics technologies can be exploited on the Web.
We welcome papers that:
Papers risk being deemed out of scope, if they are limited to:
Suggested topics include but are not limited to:
Submissions should describe original, previously unpublished, high quality, innovative work, making significant and preferably not only theoretical, contributions to the overall design of the Semantic Web, Semantic Web systems design and application experience.
Position Paper: Towards the notion of gloss, and the adoption of linguistic resources in formal ontology engineering
Constructing Virtual Documents for Ontology Matching
Position Paper: Ontology Construction from Online Ontologies
Position Paper: A Comparison of Two Modelling Paradigms in the Semantic Web
Peter F. Patel-Schneider
Web Ontology Segmentation: Analysis, Classification and Use
Towards Content Trust of Web Resources
POLYPHONET: An Advanced Social Network Extraction System from the Web
Supporting Online ProblemSolving Communities with the Semantic Web
Bootstrapping Semantics on the Web: Meaning Elicitation from Schemas
Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection
I. Budak Arpinar
Tim FininNominated for Best Paper Award
Exploring Social Annotations for the Semantic Web
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