Title :
Enhancing LOCATION Information Using Semantic Composition
Author :
Cankaya, Hakki C. ; Blanco, Eduardo ; Moldovan, Dan
Author_Institution :
Dept. of Comput. Eng., Izmir Univ. of Econ., Izmir, Turkey
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%.
Keywords :
mobile computing; semantic Web; AT-LOCATION semantic; LOCATION information; PART-WHOLE semantic; WordNet; location awareness; semantic composition; semantic parser; Africa; Computational modeling; Context; Humans; Ontologies; Semantics; Silicon; location-awareness; semantic composition; semantic relations; semantics;
Conference_Titel :
Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9591-7
Electronic_ISBN :
978-0-7695-4323-9
DOI :
10.1109/CSE.2010.70
