• DocumentCode
    1758312
  • Title

    An Empirical Study of Ontology-Based Multi-Document Summarization in Disaster Management

  • Author

    Lei Li ; Tao Li

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
  • Volume
    44
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    162
  • Lastpage
    171
  • Abstract
    Domain ontology, as a conceptual model, provides a meaningful framework for semantic representation of textual information. In this paper, we explore the feasibility of using the ontology in solving multi-document summarization problems in the domain of disaster management. We provide an empirical study of different approaches in which the ontology has been used for summarization tasks. Extensive experiments on a collection of press releases relevant to Hurricane Wilma in 2005 demonstrate that ontology-based multi-document summarization methods outperform other baselines in terms of the summary quality.
  • Keywords
    document handling; emergency management; ontologies (artificial intelligence); Hurricane Wilma; disaster management; domain ontology; ontology-based multidocument summarization; summarization tasks; summary quality; Disaster management; Educational institutions; Hurricanes; Ontologies; Power supplies; Semantics; Vectors; Disaster management; multi-document summarization; ontology; query expansion;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMCC.2013.2258335
  • Filename
    6663703