Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/72765
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Bootstrapping ontologies for web services
Author: Segev, A.
Sheng, Q.
Citation: IEEE Transactions on Services Computing, 2012; 5(1):33-44
Publisher: IEEE
Issue Date: 2012
ISSN: 1939-1374
Statement of
Responsibility: 
A. Segev and Q.Z. Sheng
Abstract: Ontologies have become the de-facto modeling tool of choice, employed in many applications and prominently in the semantic web. Nevertheless, ontology construction remains a daunting task. Ontological bootstrapping, which aims at automatically generating concepts and their relations in a given domain, is a promising technique for ontology construction. Bootstrapping an ontology based on a set of predefined textual sources, such as web services, must address the problem of multiple, largely unrelated concepts. In this paper, we propose an ontology bootstrapping process for web services. We exploit the advantage that web services usually consist of both WSDL and free text descriptors. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and web context generation. Our proposed ontology bootstrapping process integrates the results of both methods and applies a third method to validate the concepts using the service free text descriptor, thereby offering a more accurate definition of ontologies. We extensively validated our bootstrapping method using a large repository of real-world web services and verified the results against existing ontologies. The experimental results indicate high precision. Furthermore, the recall versus precision comparison of the results when each method is separately implemented presents the advantage of our integrated bootstrapping approach.
Rights: © Copyright 2012 IEEE - All rights reserved.
RMID: 0020117070
DOI: 10.1109/TSC.2010.51
Appears in Collections:Computer Science publications

Files in This Item:
File Description SizeFormat 
RA_hdl_72765.pdfRestricted Access1.72 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.