Identifying location in Indonesian documents for geographic information retrieval

Mirna Adriani, Monica Lestari Paramita

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Our research focuses on Geographic Information Retrieval for Indonesian documents. We constructed a Geographical Gazeeter for geographic locations based on information that we collected from the Geographic resources. We used the table to identify the locations of events that are mentioned in the documents. We added a location index associated with each document. We also identified the possible locations based on words that indicate the relative position to locations mentioned in the queries. The result of our experiments showed that the location index and the processing of words indicating relative positions improved the retrieval performance of natural language queries. Applying the query expansion techniques by adding keywords and locations from the documents to the queries resulted in significant performance improvement.

Original languageEnglish
Title of host publicationProceedings of the 4th ACM Workshop on Geographical Information Retrieval, GIR '07, Co-located with the 16th ACM Conference on Information and Knowledge Management, CIKM 2007
Pages19-23
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2007
Event4th ACM Workshop on Geographical Information Retrieval, GIR '07, Co-located with the 16th ACM Conference on Information and Knowledge Management, CIKM 2007 - Lisboa, Portugal
Duration: 6 Nov 20079 Nov 2007

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference4th ACM Workshop on Geographical Information Retrieval, GIR '07, Co-located with the 16th ACM Conference on Information and Knowledge Management, CIKM 2007
CountryPortugal
CityLisboa
Period6/11/079/11/07

Keywords

  • Geographical information retrieval

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