DocumentCode
2272246
Title
An empirical quality model for web service ontologies to support mobile devices
Author
Schrimpsher, Dan ; Etzkorn, Letha
Author_Institution
Comput. Sci. Dept., Univ. of Alabama Huntsville, Huntsville, AL, USA
fYear
2009
fDate
15-16 Oct. 2009
Firstpage
447
Lastpage
450
Abstract
As Web services and the semantic Web become more important, enabling technologies such as Web service ontologies will grow larger. The ability of mobile devices, such as cell phones and PDAs, to download and reason across them will be severely limited. Given that an agent on a mobile device only needs a subset of what is described in a Web service ontology, an ontology sub-graph can be created. In this paper, we develop a empirical software engineering approach to build a prediction model to measure the quality in terms of correct query handling of ontology sub-graphs relative to the original ontology - mean average recall of the sub-graph compared to the original ontology is used as the quality standard. Our metrics allow speedy selection of a sub-graph for use by a mobile device.
Keywords
Web services; graph theory; mobile computing; ontologies (artificial intelligence); semantic Web; Web service ontologies; empirical quality model; empirical software engineering approach; ontology subgraph; semantic Web; Cellular phones; Measurement standards; Ontologies; Personal digital assistants; Predictive models; Semantic Web; Software engineering; Software measurement; Software standards; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
Conference_Location
Lake Buena Vista, FL
ISSN
1938-6451
Print_ISBN
978-1-4244-4842-5
Electronic_ISBN
1938-6451
Type
conf
DOI
10.1109/ESEM.2009.5315993
Filename
5315993
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