Enhancing Location Information Using Semantic Composition
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2010
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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%. © 2010 IEEE.
Description
IEEE Comput. Soc. Tech. Comm. Scalable Comput. (TCSC)
2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 -- 11 December 2010 through 13 December 2010 -- Hong Kong -- 83813
2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 -- 11 December 2010 through 13 December 2010 -- Hong Kong -- 83813
Keywords
Location-awareness, Semantic composition, Semantic relations, Semantics, Experimental studies, Location awareness, Location information, Orders of magnitude, Semantic composition, Semantic relations, Wordnet, Semantics
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010
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284
End Page
288
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