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Discovering Plain-Text-Described Services Based on Ontology Learning

  • Hai Dong
  • Farookh Khadeer Hussain
  • Athman Bouguettaya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8836)

Abstract

In this paper, we present an approach to efficiently discover domain-specific services that are described by plain text over the Internet. Plain-text-described service advertisements account for the vast majority of service advertisements over the Internet, but current research rarely focuses on this area. To address this issue, we design a domain-ontology-based approach for automatic plain-text-described service discovery. This approach incorporates a plain-text-described service ontology for standard service description, a plaintext- described service discovery framework for domain-relevant service discovery and ontology learning, and a machine-learning-based model for ontologybased service functionality annotation. The experimental results show that this approach is able to efficiently discover more relevant plain-text-described services than other approaches.

Keywords

service computing service discovery Web mining ontology learning focused crawler 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hai Dong
    • 1
  • Farookh Khadeer Hussain
    • 2
  • Athman Bouguettaya
    • 1
  1. 1.School of Computer Science and Information TechnologyRMIT UniversityAustralia
  2. 2.Decision Support and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligent Systems, School of SoftwareUniversity of Technology SydneyAustralia

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