• DocumentCode
    2354247
  • Title

    E-XTRACT: A Tool for Extraction, Analysis and Classification of Events from Textual Requirements

  • Author

    Singh, Sandeep K. ; Sabharwal, Sangeeta ; Gupta, J.P.

  • Author_Institution
    Comput. Sci. & Eng. & Inf. Technol., HIT Univ., Noida, India
  • fYear
    2009
  • fDate
    27-28 Oct. 2009
  • Firstpage
    306
  • Lastpage
    308
  • Abstract
    This paper presents, a domain independent tool, developed in JAVA that automates the process of extraction, analysis and classification of events from textual requirements, expressed in English as a natural language. A study on various existing event extraction tools shows that they are either domain specific or take events as actions that occur at a particular time. There is no tool which extracts events that represent system behavior and at the same time gives a result that can be reused for application in multiple domains. This tool also assists the analysts in further refining events that are identified or to add some new events relevant to application domain. Tool has been tested on several case studies from different domains and has given very promising results.
  • Keywords
    Java; knowledge acquisition; natural language processing; text analysis; E-XTRACT; English; JAVA; event analysis; event classification; event extraction; natural language; Communications technology; Computer science; Control systems; Data mining; Information analysis; Information technology; Java; Natural languages; Ontologies; Testing; Document summarization; Dynamic Behaviour; Event Extraction; Events; Natural Language Processing; UML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
  • Conference_Location
    Kottayam, Kerala
  • Print_ISBN
    978-1-4244-5104-3
  • Electronic_ISBN
    978-0-7695-3845-7
  • Type

    conf

  • DOI
    10.1109/ARTCom.2009.120
  • Filename
    5329456