The vocabulary problem in human-system communication
Communications of the ACM
Signature matching: a tool for using software libraries
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automatic essay grading using text categorization techniques
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Web Services: Been There, Done That?
IEEE Intelligent Systems
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
E-services: a look behind the curtain
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Toward High-Precision Service Retrieval
IEEE Internet Computing
Efficient Access to Web Services
IEEE Internet Computing
Discovering user access pattern based on probabilistic latent factor model
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
A probabilistic semantic approach for discovering web services
Proceedings of the 16th international conference on World Wide Web
Web services discovery based on schema matching
ACSC '07 Proceedings of the thirtieth Australasian conference on Computer science - Volume 62
Efficiently finding web services using a clustering semantic approach
Proceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation: organized with the 17th International World Wide Web Conference (WWW 2008)
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Recently, web services have been increasingly used to integrate and build business applications on the Internet. Once a web service is published and deployed, clients and other applications can discover and invoke it. With the incredibly increasing number of Web services on the Internet, it is critical for service users to discover desired services that match their requirements. In this paper, we present a novel approach for discovering web services. Based on the current dominating mechanisms of the discovering and describing web services with UDDI and WSDL, the proposed method utilizes Probabilistic Latent Semantic Analysis (PLSA) to capture semantic concepts hidden behind words in a query and the advertisements in services so that services matching is expected to be carried out at concept level. We also present related algorithms and preliminary experiments to evaluate the effectiveness of our approach.