Automatically identifying bounds on semantic annotations for bioinformatics web service input parameters

  • Authors:
  • Ravinder Singh;Sean Bechhofer;Khalid Belhajjame;Suzanne M. Embury

  • Affiliations:
  • School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK

  • Venue:
  • ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
  • Year:
  • 2010

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Abstract

Semantic annotation of web services is achieved by associating parts of service interface descriptions to concepts defined in a semantic model, such as an ontology. Annotating web services with semantic metadata is currently a manual procedure that is conducted by human annotators. In practice, however, service annotation can be both time-consuming and error-prone to implement on real-world web services. We have investigated this problem in the bioinformatics domain, where certain characteristics shared by many web services make them a difficult breed to annotate with semantics. By taking these characteristics into consideration, we present a probing-based technique that identifies upper and lower semantic bounds for the annotation of web service input parameters. The resulting bounds can serve as a useful starting point for human annotators and could help reduce the required effort in the semantic annotation process.