Enhancing LOCATION information using semantic composition

Hakki C. Cankaya, Eduardo Blanco, Dan Moldovan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision of the results is 98%.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010
Pages284-288
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 - Hong Kong, China
Duration: Dec 11 2010Dec 13 2010

Publication series

NameProceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010

Conference

Conference2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010
Country/TerritoryChina
CityHong Kong
Period12/11/1012/13/10

Keywords

  • Location-awareness
  • Semantic composition
  • Semantic relations
  • Semantics

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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