Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3519
Full metadata record
DC Field | Value | Language |
---|---|---|
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.identifier.isbn | 9.78077E+12 | - |
dc.identifier.uri | https://doi.org/10.1109/CSE.2010.70 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14365/3519 | - |
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.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 |
dc.identifier.doi | 10.1109/CSE.2010.70 | - |
dc.identifier.scopus | 2-s2.0-79951592096 | en_US |
dc.authorscopusid | 7003929724 | - |
dc.authorscopusid | 7004716430 | - |
dc.identifier.startpage | 284 | en_US |
dc.identifier.endpage | 288 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | N/A | - |
dc.identifier.wosquality | N/A | - |
item.openairetype | Conference Object | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | reserved | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
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2612.pdf Restricted Access | 230.73 kB | Adobe PDF | View/Open Request a copy |
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