Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Mining the web to detect place names

Twaroch, Florian A., Smart, Philip David and Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575 2008. Mining the web to detect place names. Presented at: 2nd international workshop on Geographic information retrieval, Napa Valley, CA, USA, 29-30 October 2008. Published in: Jones, Christopher Bernard and Purves, R. eds. GIR '08 Proceedings of the 2nd international workshop on Geographic information retrieval. New York: ACM, pp. 43-44. 10.1145/1460007.1460017

Full text not available from this repository.

Abstract

With the aim to improve the quality of gazetteers for geographic information retrieval systems, we present a method to detect place names employed by people submitting information to Web resources. We investigate how often people refer to a place using locative phrases in web queries and address the problem of defining cognitively significant place names. We propose Web mining as a means to decide whether a given particular named entity is in fact a place.

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
Additional Information: Part of: CIKM '08 Conference on Information and Knowledge Management, Napa Valley, CA, 26-30 October 2008
Publisher: ACM
ISBN: 9781605582535
Last Modified: 29 Sep 2023 01:07
URI: https://orca.cardiff.ac.uk/id/eprint/14142

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item