NDLI: A Semantic Similarity Measure between Web Services Based on Google Distance

Content Provider	IEEE Xplore Digital Library
Author	Huirong Yang Pengbin Fu Baocai Yin Mengduo Ma Yanyan Tang
Copyright Year	2011
Abstract	In order to get a better semantic matching degree for web services, in this paper, we try to deal with the problems of web services matching through calculating the Normalized Google Distance (NGD) between concepts, based on the semantic description of web service's name, input and output parameters. This measure method takes advantage of the Google massive terms and open Google search engine to compute the NGD between concepts, and calculates the similarity between web services. Compared with the existing algorithm, we adopt Google terms which present merits of more abundance and updating in a relatively faster speed. This method is simpler and greatly decreases the complexity of calculation because there is no ontology and taxonomy tree, no need to judge the foliatory order, path length, depth and local density. The preliminary results have shown that our algorithm can highly improve the recall and precision of the web service.
Starting Page	14
Ending Page	19
File Size	370881
Page Count	6
File Format	PDF
ISBN	9781457705441
ISSN	07303157
e-ISBN	9780769544397
DOI	10.1109/COMPSAC.2011.97
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-18
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Web services Google Vehicles Ontologies Quality of service Search engines Web Services web service matching Google Distance Semantic similarity
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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