Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2010/paper/514> ?p ?o. }
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- 514 creator jennifer-sleeman.
- 514 creator tim-finin.
- 514 type InProceedings.
- 514 label "Learning Co-reference Relations for FOAF Instances".
- 514 sameAs 514.
- 514 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.".
- 514 hasAuthorList authorList.
- 514 isPartOf poster-demo-proceedings.
- 514 keyword "FOAF".
- 514 keyword "linked data".
- 514 keyword "machine learning".
- 514 title "Learning Co-reference Relations for FOAF Instances".