• DocumentCode
    2864998
  • Title

    State of the Art of Community-Driven Software Engineering Ontology Evolution

  • Author

    Wongthongtham, Pornpit ; Dillon, Tharam ; Chang, Elizabeth

  • Author_Institution
    Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ., Perth, WA, Australia
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    1039
  • Lastpage
    1045
  • Abstract
    Ontology evolution becomes an interesting topic in the semantic web field and increasingly getting research momentum. However, there is still a lack of understanding and support in ontology evolution. In this paper, we focus on an approach for ontology evolution of Software Engineering Ontology (SE Ontology) in multi-site software development setting. An integration of agents with semantic web technology and recommender systems to address communication and co-ordination issues is proposed together with a use of social networks for the purpose of ontology evolution.
  • Keywords
    ontologies (artificial intelligence); recommender systems; semantic Web; software engineering; Semantic Web; recommender systems; software development; state of the art of community driven software engineering ontology evolution; Cloud computing; Ontologies; Programming; Social network services; Ontology evolution; recommendation systems; social network; software engineering ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-0006-3
  • Type

    conf

  • DOI
    10.1109/DASC.2011.170
  • Filename
    6118866