• DocumentCode
    1811083
  • Title

    Implementing soft fusion

  • Author

    Kohler, Holger ; Lambert, Dale A. ; Richter, Janek ; Burgess, Glenn ; Cawley, Tim

  • Author_Institution
    Intell. Process. & Anal. Branch, Defence Sci. & Technol. Organ., Adelaide, SA, Australia
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    389
  • Lastpage
    396
  • Abstract
    This paper outlines an implemented process for fusing soft textual information with hard signal information called the Mixed Initiative Soft Fusion Implementation Testbed (MISFIT). While translation of the content of hard information sources to a machine processable semantic representation is usually feasible, the content of most unconstrained natural language textual sources can only be partially translated to a machine processable semantic representation. In response the Intelligence Processing and Analysis Branch has differentiated four alternative strategies. This paper describes the mixed initiative strategy in which “humans in the loop” address components of the process that are difficult to automate. This strategy increases potential for complex semantics to be expressed, structured and exploited with machine reasoning.
  • Keywords
    inference mechanisms; language translation; sensor fusion; text analysis; MISFIT; hard information sources; hard signal information; humans in the loop; intelligence processing and analysis branch; machine processable semantic representation; machine reasoning; mixed initiative soft fusion implementation testbed; mixed initiative strategy; soft textual information fusion; unconstrained natural language textual sources; Cleaning; Encoding; Periodic structures; Semantics; automated reasoning; big data; hard and soft fusion; mixed initiative; semantic representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2013 16th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-605-86311-1-3
  • Type

    conf

  • Filename
    6641305