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
Link To Document