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Web Data Mining for Web Service Annotation

Type: 
Master
Student name: 
Simon Knoll

The goal of this work is to identify and apply suitable data mining technologies to annotate Web Services based on their WSDL description and related information resources.

  • Categorize Web Services according to the Service-Finder Service Category Ontology
  • Classify related documents according to their type (contact details page, pricing page, etc.)
  • Implementation within a crawl post processing framework

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