Visual OntoBridge: Semi-automatic Semantic Annotation Software

  • Authors:
  • Miha Grcar;Dunja Mladenic

  • Affiliations:
  • Dept. of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia 1000;Dept. of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia 1000

  • Venue:
  • ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
  • Year:
  • 2009

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Abstract

Machine learning methods have been successfully used for data labeling, also referred to as data annotation, either in semi-automatic or fully automatic way. We present a system for semi-automatic annotation of Web service schemas and other resources with the motivation to support efficient browse and search through those resources and to enable efficient composition and execution of Web services. The presented system, Visual OntoBridge (VOB), provides a graphical user interface and employs a set of machine learning algorithms to support the user in the annotation task.