Mining topological relations from the Web

Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881, Smart, Philip David, Abdelmoty, Alia ORCID: https://orcid.org/0000-0003-2031-4413 and Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575 2008. Mining topological relations from the Web. Presented at: 28th International Workshop on Database and Expert Systems Applications, Turin, Italy, 1-5 September 2008. Published in: Tjoa, A. M. and Wagner, R. R. eds. DEXA 2008: 19th International Conference on Database and Expert Systems Applications : proceedings, 1-5 September, 2008, Turin, Italy. Los Alamitos, CA: IEEE Computer Society,, pp. 652-656. 10.1109/DEXA.2008.15

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Abstract

Topological relations between geographic regions are of interest in many applications. When the exact boundaries of regions are not available, such relations can be established by analysing natural language information from Web documents. In particular, we demonstrate how redundancy-based techniques can be used to acquire containment and adjacency relations, and how fuzzy spatial reasoning can be employed to maintain the consistency of the resulting knowledge base.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IEEE Computer Society,
ISBN:	9780769532998
Last Modified:	29 Sep 2023 01:07
URI:	https://orca.cardiff.ac.uk/id/eprint/18912

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