RT Journal Article
JF 2007 IEEE/WIC/ACM International Conference on Web Intelligence
YR 2007
VO 00
IS
SP 559
TI Improving Performance of Web Services Query Matchmaking with Automated Knowledge Acquisition
A1 Rajdeep Bhowmik,
A1 Madhusudhan Govindaraju,
A1 Weiyi Meng,
A1 Chaitali Gupta,
A1 Michael R. Head,
K1 Web services
K1 Matchmaking
K1 Semantic Web
K1 Ontology
K1 Information Extraction
AB There is a critical need to design and develop tools that abstract away the fundamental complexity of XML-based Web services specifications and toolkits, and provide an elegant, intuitive, simple, and powerful query-based invocation system to end users. Web services based tools and standards have been designed to facilitate seamless integration and development for application developers. As a result, current implementations require the end user to have intimate knowledge of Web services and related toolkits, and users often play an informed role in the overall Web services execution process. We employ a self-learning mechanism and a set of algorithms and optimizations to match user queries with corresponding operations in Web services. Our system uses Semantic Web concepts and Ontologies in the process of automating Web services matchmaking. We present performance analysis of our system and quantify the exact gains in precision and recall due to the knowledge acquisition algorithms.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN
LA English
DO 10.1109/WI.2007.101
LK http://doi.ieeecomputersociety.org/10.1109/WI.2007.101