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Extending Enterprise Service Design Knowledge Using Clustering

  • Marcus Roy
  • Ingo Weber
  • Boualem Benatallah
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7636)

Abstract

Automatically constructing or completing knowledge bases of SOA design knowledge puts traditional clustering approaches beyond their limits. We propose an approach to amend incomplete knowledge bases of Enterprise Service (ES) design knowledge, based on a set of ES signatures. The approach employs clustering, complemented with various filtering and ranking techniques to identify potentially new entities. We implemented and evaluated the approach, and show that it significantly improves the detection of entities compared to a state-of-the-art clustering technique. Ultimately, extending an existing knowledge base with entities is expected to further improve ES search result quality.

Keywords

Directed Acyclic Graph Service Design Hierarchical Agglomerative Cluster Naming Convention Name Entity Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marcus Roy
    • 1
    • 2
  • Ingo Weber
    • 2
    • 3
  • Boualem Benatallah
    • 2
  1. 1.SAP ResearchSydneyAustralia
  2. 2.School of Computer Science & EngineeringUniversity of New South WalesAustralia
  3. 3.Software Systems Research GroupNICTASydneyAustralia

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