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Characteristics of geographic information needs
Henrich, Andreas; Lüdecke, Volker (2007): Characteristics of geographic information needs, in: Ross S. Purves und Chris Jones (Hrsg.), GIR ’07 : Proceedings of the 4th ACM workshop on Geographical information retrieval, New York: ACM, S. 1–6, doi: 10.1145/1316948.1316950.
Faculty/Chair:
Author:
Title of the compilation:
GIR '07 : Proceedings of the 4th ACM workshop on Geographical information retrieval
Editors:
Conference:
CIKM07: Conference on Information and Knowledge Management, 9 November 2007 ; Lisboa Portugal
Publisher Information:
Year of publication:
2007
Pages:
ISBN:
978-1-59593-828-2
Language:
English
Abstract:
A Geographic Information Retrieval (GIR) system for answering geographic queries has to cope with various information needs, which have a wide range of contexts and implicit requirements. A user, for example, who is looking for a place to spend his or her holidays certainly has a different understanding of distance than a user looking for a bar in the city he or she lives in.
To get a better understanding of geographic information needs and their implications for GIR systems, we analysed real world (geographic) queries with regard to different facets of geographic references in queries. The results of this analysis are presented in this paper, the aim of which was a classification of the geographic aspects of information needs. We present empirical results and line out possible classification criteria, which could be helpful in designing GIR systems that are able to consider different semantics of geographic references in queries.
To get a better understanding of geographic information needs and their implications for GIR systems, we analysed real world (geographic) queries with regard to different facets of geographic references in queries. The results of this analysis are presented in this paper, the aim of which was a classification of the geographic aspects of information needs. We present empirical results and line out possible classification criteria, which could be helpful in designing GIR systems that are able to consider different semantics of geographic references in queries.
Keywords: ;
Experimentation
Human Factors
Type:
Conferenceobject
Activation date:
September 24, 2014
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https://fis.uni-bamberg.de/handle/uniba/17544