Searching Service Repositories by Combining Semantic and Ontological Matching
ICWS '05 Proceedings of the IEEE International Conference on Web Services
The TXL source transformation language
Science of Computer Programming - The fourth workshop on language descriptions, tools, and applications (LDTA'04)
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
ICPC '08 Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
Comparison and evaluation of code clone detection techniques and tools: A qualitative approach
Science of Computer Programming
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
The smart internet: transforming the web for the user
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
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A challenge for the Smart Internet will be the automated tagging of equivalent or similar services, both in terms of domain semantics and service protocols, in support of efficient discovery and selection of relevant alternative services for the current matters of concern. Code similarity detection is an established technique that can be brought to bear on this problem if service descriptions can be partitioned into appropriate units for comparison. Unfortunately, specifications written in Web Service Description Language (WSDL) are poorly structured for this purpose, with relevant information for each service operation scattered widely over WSDL service descriptions. In this work we describe a first step in leveraging code similarity techniques to identify and tag similarities in WSDL descriptions of web service operations. Using source transformation techniques, we describe a method for reorganizing WSDL descriptions such that they are both more human readable and better suited to analysis by similarity detection tools. We demonstrate our method by the automated identification and grouping of similar service operations using clone detection in two example WSDL systems.