Copy the page URI to the clipboard
Nikolov, Andriy; Uren, Victoria; Motta, Enrico and De Roeck, Anne
(2009).
DOI: https://doi.org/10.1007/978-3-642-10871-6_23
Abstract
Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, which performs ontology schema matching in order to improve instance coreference resolution performance. A novel feature of the approach is its use of existing instance-level coreference links defined in third-party repositories as background knowledge for schema matching techniques. In our tests of this approach we obtained encouraging results, in particular, a substantial increase in recall in comparison with existing sets of coreference links.
Viewing alternatives
Download history
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 23438
- Item Type
- Conference or Workshop Item
- ISSN
- 0302-9743
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2009 Springer-Verlag Berlin Heidelberg
- Depositing User
- Kay Dave