Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/iswc2007+aswc2007/tracks/research/papers/99> ?p ?o. }
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- 99 creator aaron-kershenbaum.
- 99 creator achille-fokoue.
- 99 creator aditya-kalyanpur.
- 99 creator christopher-welty.
- 99 creator james-fan.
- 99 creator julian-dolby.
- 99 creator kavitha-srinivas.
- 99 creator li-ma.
- 99 creator william-murdock.
- 99 type InProceedings.
- 99 label "Scalable Cleanup of Information Extraction Data Using Ontologies".
- 99 sameAs 99.
- 99 abstract "The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this approach has been that ontology reasoning to find inconsistencies does not scale to the size of data produced by information extraction tools. In this paper, we describe techniques to scale inconsistency detection, and illustrate the use of our techniques to produce a consistent subset of a knowledge base with several thousand inconsistencies.".
- 99 hasAuthorList authorList.
- 99 hasTopic Application_software.
- 99 hasTopic Semantic_Web.
- 99 isPartOf proceedings.
- 99 title "Scalable Cleanup of Information Extraction Data Using Ontologies".