Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3519| Title: | Enhancing LOCATION information using semantic composition | Authors: | Cankaya H.C. Blanco E. Moldovan D. |
Keywords: | Location-awareness Semantic composition Semantic relations Semantics Experimental studies Location awareness Location information Orders of magnitude Semantic composition Semantic relations Wordnet Semantics |
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 |
URI: | https://doi.org/10.1109/CSE.2010.70 https://hdl.handle.net/20.500.14365/3519 |
ISBN: | 9.78077E+12 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 2612.pdf Restricted Access | 230.73 kB | Adobe PDF | View/Open Request a copy |
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.