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Learning Co-reference Relations for FOAF Instances

Authors: Jennifer Sleeman, and Tim Finin

Book Title: Proceedings of the Poster and Demonstration Session at the 9th International Semantic Web Conference

Date: November 09, 2010

Abstract: FOAF is widely used on the Web to describe people, groups and organizations and their properties. Since FOAF does not require unique IDs, it is often unclear when two FOAF instances are co-referent, i.e., denote the same entity in the world. We describe a prototype system that identifies sets of co-referent FOAF instances using logical constraints (e.g., IFPs), strong heuristics (e.g., FOAF agents described in the same file are not co-referent), and a Support Vector Machine (SVM) generated classifier.

Type: InProceedings

Publisher: CEUR Workshop Proceedings

Note: (poster paper)

Tags: semantic web, foaf, learning

Google Scholar: I9S-GB8YiPoJ

Number of Google Scholar citations: 2 [show citations]

Number of downloads: 1859


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