Towards social network based approach for software engineering ontology sharing and evolution

  • Authors:
  • Pornpit Wongthongtham;Elizabeth Chang;Ahmed A. Aseeri

  • Affiliations:
  • Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
  • Year:
  • 2007

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Abstract

In this paper, we present a multi-agent social network approach that integrates the software engineering ontology and expert recommendation facilities for communities of software engineers remotely working on related software engineering projects. The software engineering ontology enables an active ecology of agents to convey, consume and act on project information (semi) autonomously, according to explicit software engineering domain knowledge. Recommendation techniques are addressed to make progress - ability to recommend useful project information, solution(s) for project issues that arise as experts.