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Knowledge Interconnection Based on Binary Semantic Relation Analysis
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.36Eighth ACIS International Conference ...
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Yuxia Lei, Qufu Normal University, China; Institute of Computing Technology, Beijing
Baoxiang Cao, Qufu Normal University, China
Yan Wang, Qufu Normal University, China
Knowledge interconnection, which is a method from the point of knowledge discovery, plays an important role in many knowledge systems such as natural language query system and intelligence tutor system. The paper firstly discussed some kinds of interconnectivities of two closed-semantic statements with the form \leC,R,C'\ge by analyzing the properties of binary semantic relations and the implications among semantic relations. These implications can be acquired by using the attribute exploration algorithm in Formal Concept Analysis (FCA). And then the paper proposed an interactive interconnection algorithm, which is used to judge whether there exist meaningful interconnection factor between two statements.
Citation:
Yuxia Lei, Baoxiang Cao, Yan Wang, "Knowledge Interconnection Based on Binary Semantic Relation Analysis," snpd, vol. 3, pp.893-898, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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