2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Geographical information services classification based on FCA - a case study in vector spatial statistic analysis

Authors
Yumin Chen, Jingyang Wu, Fei Zeng, Xiang Gao, Xiaomei Bi
Corresponding Author
Yumin Chen
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.175How to use a DOI?
Keywords
Geographical information services, Classification, Formal concept analysis
Abstract
The classification of geographical information services is very important to the effective management and sharing of geographical spatial information, especially in a web-based GIS system. However, most current classification criteria focus on an abstract level. Discussions on the detailed services classification are still insufficient. This paper proposes a new thought of constructing these diverse services using the Formal Concept Analysis (FCA). After briefly discussing the current services classification systems and basic knowledge of FCA, the paper takes vector data spatial statistic analysis as an example to perform the classification with the method of FCA. The resultant categories prove to be acceptable and practical.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.175How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yumin Chen
AU  - Jingyang Wu
AU  - Fei Zeng
AU  - Xiang Gao
AU  - Xiaomei Bi
PY  - 2013/04
DA  - 2013/04
TI  - Geographical information services classification based on FCA - a case study in vector spatial statistic analysis
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.175
DO  - https://doi.org/10.2991/icsem.2013.175
ID  - Chen2013/04
ER  -