• DocumentCode
    2119704
  • Title

    Enhancing LOD Complex Query Building with Context

  • Author

    Brandao, R. ; Maio, Paulo ; Silva, Nuno

  • Author_Institution
    Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto, Porto, Portugal
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    522
  • Lastpage
    529
  • Abstract
    Open ontology-described repositories are becoming very common in the web and in enterprises. These repositories are well-suited to answer complex queries, but in order to fully exploit their potential, the queries should be written in a user-demand basis, and not in a traditional static approach by software developers. Hence, the users are required (i) to know the underlying ontology(ies) and/to (ii) write formal queries. Yet, the users often lack such requirements. In this paper we first describe the observations made during manual complex querying process and present a systematization of the users´ support wish list for building complex queries. Based on this systematization we propose an extended set of functionalities for a user-supporting system. Finally, we demonstrate their application in a walk-through example and their implementation within a prototype.
  • Keywords
    ontologies (artificial intelligence); query processing; question answering (information retrieval); LOD complex query building; complex query answering; complex querying process; complex support wish list systematization; formal queries; linked-open data repositories; ontology-described repositories; software developers; user demand basis; user-supporting system; complex questions; knowledge management; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.94
  • Filename
    6511934