• DocumentCode
    2922395
  • Title

    Evaluating semantically enriched information systems

  • Author

    Opitz, Jasmin ; Parsia, Bijan ; Sattler, Ulrike

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK
  • fYear
    2011
  • fDate
    28-29 June 2011
  • Firstpage
    313
  • Lastpage
    320
  • Abstract
    Information systems should be designed to allow users to express their information requests in a simple way and to retrieve information that they consider as relevant to these requests. In order to fulfil these requirements, information system designers face many challenges w.r.t. selecting appropriate technologies and deciding on a modelling approach for their system. In this paper we present a conceptual framework that can be used to analyse the “fitness” of (semantically enriched) information systems w.r.t. queriability and information retrieval quality. It can help designers to spot the strengths and weaknesses of various modelling approaches as well as managing tradeoffs between modelling effort and their potential benefits. We evaluate this methodology in a case study on different modelling approaches for annotating medical images.
  • Keywords
    image retrieval; medical image processing; medical information systems; query processing; relevance feedback; information requests; information retrieval quality; information system queriability; medical image annotation; semantically enriched information system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-61284-354-4
  • Electronic_ISBN
    978-1-61284-353-7
  • Type

    conf

  • DOI
    10.1109/STAIR.2011.5995808
  • Filename
    5995808