Sasi Kumar, A. and TAMIZHSELVI, S P and Suseendran, G. A Framework for Semi Semantic Ontology Based Document Clustering in Geospatial Domain. International Journal of Applied Engineering Research.
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Abstract
Geospatial information (GI) is the information describing the
location and names of features on the earth surface.. In a
distributed environment, Semantic Web Service makes
solutions for spatial annotation, discovery, extraction,
composition and invocation. The main objective of this work
is to develop the algorithm using ontology concepts for
semantically cluster the dam documents. The proposed
framework designs the semi semantic ontology based
document clustering algorithm. This approach semantically
clusters XML documents. The proposed algorithm is
evaluated and validated using F-Measure. The result has been
evaluated by using various clustering algorithm
Item Type: | Article |
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Subjects: | Computer Science Engineering > Data Mining |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 06 Oct 2024 09:23 |
Last Modified: | 06 Oct 2024 09:23 |
URI: | https://ir.vistas.ac.in/id/eprint/8986 |