Enhancing Location Information Using Semantic Composition
| dc.contributor.author | Cankaya H.C. | |
| dc.contributor.author | Blanco E. | |
| dc.contributor.author | Moldovan D. | |
| dc.date.accessioned | 2023-06-16T15:00:42Z | |
| dc.date.available | 2023-06-16T15:00:42Z | |
| dc.date.issued | 2010 | |
| dc.description | IEEE Comput. Soc. Tech. Comm. Scalable Comput. (TCSC) | en_US |
| dc.description | 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 -- 11 December 2010 through 13 December 2010 -- Hong Kong -- 83813 | en_US |
| dc.description.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. | en_US |
| dc.identifier.doi | 10.1109/CSE.2010.70 | |
| dc.identifier.isbn | 9.78E+12 | |
| dc.identifier.scopus | 2-s2.0-79951592096 | |
| dc.identifier.uri | https://doi.org/10.1109/CSE.2010.70 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3519 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Location-awareness | en_US |
| dc.subject | Semantic composition | en_US |
| dc.subject | Semantic relations | en_US |
| dc.subject | Semantics | en_US |
| dc.subject | Experimental studies | en_US |
| dc.subject | Location awareness | en_US |
| dc.subject | Location information | en_US |
| dc.subject | Orders of magnitude | en_US |
| dc.subject | Semantic composition | en_US |
| dc.subject | Semantic relations | en_US |
| dc.subject | Wordnet | en_US |
| dc.subject | Semantics | en_US |
| dc.title | Enhancing Location Information Using Semantic Composition | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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| gdc.description.departmenttemp | Cankaya, H.C., Dept. of Computer Engineering, Izmir Univ. of Economics, Izmir, Turkey; Blanco, E., Dept. of Computer Science, Univ. of Texas at Dallas, Richardson, TX, United States; Moldovan, D., Dept. of Computer Science, Univ. of Texas at Dallas, Richardson, TX, United States | en_US |
| gdc.description.endpage | 288 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 284 | en_US |
| gdc.description.wosquality | N/A | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.virtual.author | Çankaya, Hakkı Candan | |
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