• DocumentCode
    2458875
  • Title

    Interactive User Feedback in Ontology Matching Using Signature Vectors

  • Author

    Cruz, Isabel F. ; Stroe, Cosmin ; Palmonari, Matteo

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2012
  • fDate
    1-5 April 2012
  • Firstpage
    1321
  • Lastpage
    1324
  • Abstract
    When compared to a gold standard, the set of mappings that are generated by an automatic ontology matching process is neither complete nor are the individual mappings always correct. However, given the explosion in the number, size, and complexity of available ontologies, domain experts no longer have the capability to create ontology mappings without considerable effort. We present a solution to this problem that consists of making the ontology matching process interactive so as to incorporate user feedback in the loop. Our approach clusters mappings to identify where user feedback will be most beneficial in reducing the number of user interactions and system iterations. This feedback process has been implemented in the Agreement Maker system and is supported by visual analytic techniques that help users to better understand the matching process. Experimental results using the OAEI benchmarks show the effectiveness of our approach. We will demonstrate how users can interact with the ontology matching process through the Agreement Maker user interface to match real-world ontologies.
  • Keywords
    ontologies (artificial intelligence); pattern matching; OAEI benchmark; agreement maker system; automatic ontology matching process; clusters mapping; domain expert; interactive user feedback; signature vector; system iteration; user interaction; visual analytic technique; Benchmark testing; Conferences; Feedback loop; Ontologies; User interfaces; Vectors; Visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2012 IEEE 28th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1063-6382
  • Print_ISBN
    978-1-4673-0042-1
  • Type

    conf

  • DOI
    10.1109/ICDE.2012.137
  • Filename
    6228198