Evaluation of GoogleMap as source of tourist spatial information

The availability of online GIS (Geographic Information Systems) maps has provided a new source of spatial information to tourists. However these maps have yet to be evaluated of their effectiveness. This has challenged scholars to further investigate methods of evaluating geographic information retr...

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Published in:Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10
Main Author: Zainol R.; Bakar Z.A.; Ali S.J.S.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953903236&doi=10.1109%2fINFRKM.2010.5466946&partnerID=40&md5=634f43473ac64767d681e9320a2e181b
id 2-s2.0-77953903236
spelling 2-s2.0-77953903236
Zainol R.; Bakar Z.A.; Ali S.J.S.
Evaluation of GoogleMap as source of tourist spatial information
2010
Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10


10.1109/INFRKM.2010.5466946
https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953903236&doi=10.1109%2fINFRKM.2010.5466946&partnerID=40&md5=634f43473ac64767d681e9320a2e181b
The availability of online GIS (Geographic Information Systems) maps has provided a new source of spatial information to tourists. However these maps have yet to be evaluated of their effectiveness. This has challenged scholars to further investigate methods of evaluating geographic information retrieval. Therefore the main objective of this paper is to evaluate the effectiveness of GoogleMap as one of the online GIS maps providers. System testing is used to assess three different study areas namely, Shah Alam, Kuala Lumpur and Taiping. To facilitate this assessment a query list consists of 78 keywords are gathered. Precision and recall measures are also used as an evaluation method. Findings show that GoogleMap Malaysia is bias towards places that are well-known and fed with abundant information by users. Therefore area that has more information and bigger in size has higher score levels of recall and precision percentage as compared to smaller and isolated areas that have lesser information. ©2010 IEEE.


English
Conference paper

author Zainol R.; Bakar Z.A.; Ali S.J.S.
spellingShingle Zainol R.; Bakar Z.A.; Ali S.J.S.
Evaluation of GoogleMap as source of tourist spatial information
author_facet Zainol R.; Bakar Z.A.; Ali S.J.S.
author_sort Zainol R.; Bakar Z.A.; Ali S.J.S.
title Evaluation of GoogleMap as source of tourist spatial information
title_short Evaluation of GoogleMap as source of tourist spatial information
title_full Evaluation of GoogleMap as source of tourist spatial information
title_fullStr Evaluation of GoogleMap as source of tourist spatial information
title_full_unstemmed Evaluation of GoogleMap as source of tourist spatial information
title_sort Evaluation of GoogleMap as source of tourist spatial information
publishDate 2010
container_title Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10
container_volume
container_issue
doi_str_mv 10.1109/INFRKM.2010.5466946
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953903236&doi=10.1109%2fINFRKM.2010.5466946&partnerID=40&md5=634f43473ac64767d681e9320a2e181b
description The availability of online GIS (Geographic Information Systems) maps has provided a new source of spatial information to tourists. However these maps have yet to be evaluated of their effectiveness. This has challenged scholars to further investigate methods of evaluating geographic information retrieval. Therefore the main objective of this paper is to evaluate the effectiveness of GoogleMap as one of the online GIS maps providers. System testing is used to assess three different study areas namely, Shah Alam, Kuala Lumpur and Taiping. To facilitate this assessment a query list consists of 78 keywords are gathered. Precision and recall measures are also used as an evaluation method. Findings show that GoogleMap Malaysia is bias towards places that are well-known and fed with abundant information by users. Therefore area that has more information and bigger in size has higher score levels of recall and precision percentage as compared to smaller and isolated areas that have lesser information. ©2010 IEEE.
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language English
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