Leveraging Incrementally Enriched Domain Knowledge to Enhance Service Categorization
Jia Zhang, Jian Wang, Patrick C. K. Hung, Zheng Li, Neng Zhang, Keqing He · International Journal of Web Services Research · 2012
This paper reports the authors’ study over an open service and mashup repository, ProgrammableWeb, which groups stored services into predefined categories. Leveraging such a unique structural feature and hidden domain knowledge of the service repository, they extend the Support Vector Machine (SVM)-based text classification technique to enhance service-oriented categorization. An iterative approach is presented to automatically verify and adjust service categorization, which will incrementally enrich domain ontology and in turn enhance the accuracy of service categorization.