Dynamic Associative Relationships on the Linked Open Data Web

TitleDynamic Associative Relationships on the Linked Open Data Web
Publication TypeConference Proceedings
Year of Publication2010
AuthorsPablo Mendes, Pavan Kapanipathi, Delroy Cameron, Amit Sheth
Conference NameWebSci10, Extending the Frontiers of Society On-Line Conference
Conference LocationRaleigh, NC
Keywordssemantic web and social media and microblogging and linked data and real-time web
Abstract

In this work we approach relationships on the Linked Open Data Web as key facilitators of information exploration. Linked Open Data (LOD) principles contribute to a shift in paradigm for information representation and access, enhancing the ability of users and computers to connect, browse and query data on the Web through standard lan- guages and protocols. We present a brief discussion on the current relationship types on the Web, and observe the need for the extraction of a particular type. We focus on trending socially con- textual relationships since they highlight the dynamics of the social interaction between users creating, linking, and consuming information on the Web. Our extraction method is based on the identification of co-occurring entity mentions in microblog posts. Real time entity and relationship extraction can be useful tools for the on demand extension of the Web of Data. We demonstrate the usefulness of this approach in the context of two ap- plications: database exploration and semantic browsing for exploratory search.

Full Text

Mendes, Pablo and Kapanipathi, Pavan and Cameron, Delroy and Sheth, Amit (2010) Dynamic Associative Relationships on the Linked Open Data Web. In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US.
project: Cuebee
year: 2010
related resource url: http://journal.webscience.org/398/2/websci10_submission_116.pdf and http://journal.webscience.org/398/ and http://scholar.google.com/citations?view_op=view_citation&hl=en&user=2T3...
venue name: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line
hasURL: http://knoesis.wright.edu/library/download/paper-websci10MKSC.pdf

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