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Authors: Andrei Tabarcea 1 ; Ville Hautamäki 2 and Pasi Fränti 3

Affiliations: 1 Technical University of Iaşi, Romania ; 2 Institute for Infocomm Research, A*STAR, Singapore ; 3 Speech and Image Processing Unit, University of Eastern Finland, Finland

ISBN: 978-989-674-025-2

Keyword(s): Search engine, LBS, Database, Prefix tree, Georeferencing, Mobile device, Location information, Personal navigation, WWW.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Searching and Browsing ; Soft Computing ; Symbolic Systems ; Web Geographical Information Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Mining

Abstract: A bottleneck of constructing location-based web searches is that most web-pages do not contain any explicit geocoding such as geotags. Alternative solution can be based on ad-hoc georeferencing which relies on street addresses, but the problem is how to extract and validate the address strings from free-form text. We propose a rule-based solution that detects address-based locations using a gazetteer and street-name prefix trees created from the gazetteer. We compare this approach against a method that doesn’t require a gazetteer (a heuristic method that assumes that street-name has a certain structure) and a method that also uses data structures created from the gazetteer in the form of street-name arrays. Experiments using our location based search engine prototype (MOPSI) for Finland and Singapore, show that the proposed prefix-tree solution is twice as fast and 10% more accurate than its rule-based alternative and 10 times faster if an array structure is used when accessing the ga zetteer. (More)

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Paper citation in several formats:
Tabarcea A.; Hautamäki V.; Fränti P. and (2010). AD-HOC GEOREFERENCING OF WEB-PAGES USING STREET-NAME PREFIX TREES.In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 237-244. DOI: 10.5220/0002804002370244

@conference{webist10,
author={Andrei Tabarcea and Ville Hautamäki and Pasi Fränti},
title={AD-HOC GEOREFERENCING OF WEB-PAGES USING STREET-NAME PREFIX TREES},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002804002370244},
isbn={978-989-674-025-2},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - AD-HOC GEOREFERENCING OF WEB-PAGES USING STREET-NAME PREFIX TREES
SN - 978-989-674-025-2
AU - Tabarcea, A.
AU - Hautamäki, V.
AU - Fränti, P.
PY - 2010
SP - 237
EP - 244
DO - 10.5220/0002804002370244

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