DocumentCode
539101
Title
Tractor: A framework for soft information fusion
Author
Prentice, M. ; Kandefer, M. ; Shapiro, S.C.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. at Buffalo, Buffalo, NY, USA
fYear
2010
fDate
26-29 July 2010
Firstpage
1
Lastpage
8
Abstract
This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages. The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.
Keywords
graph theory; information retrieval; knowledge representation; natural language processing; sensor fusion; Tractor; artificial intelligence techniques; information retrieval; knowledge representation; natural language messages; natural language understanding; propositional graph; soft information fusion framework; Agricultural machinery; Context; Logic gates; Natural languages; Ontologies; Resource description framework; Syntactics; context; hard/soft data fusion; ontologies; propo-sitional graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-9824438-1-1
Type
conf
DOI
10.1109/ICIF.2010.5711896
Filename
5711896
Link To Document