Viewpoint-Based Similarity Discernment on SNAP

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概要

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• This paper presents an algorithm for viewpoint based similarity discernment of linguistic concepts on Semantic Network Array Processor (SNAP). The viewpoint-based similarity discernment plays a key role in retrieving similar propositions. This is useful for advanced knowledge processing areas such as analogical reasoning and case-based reasoning. The algorithm assumes that a knowledge base is constructed for SNAP based on information acquired from the WordNet linguistic database. The algorithm identifies paths on the knowledge base between each given concept and a given viewpoint concept, then computes a similarity degree between the two concepts based on the number of nodes shared by the paths. A small scale knowledge base was constructed and an experiment was conducted on a SNAP simulator that demonstrated the feasibility of this algorithm. Because of SNAP's scalability, the algorithm is expected to work similarly on a large scale knowledge base.

• 1999-02-25

著者

• YUKAWA Takashi

  NTT Communication Science Laboratories

• HARABAGIU Sanda

  Faculty of Department of Computer Science and Engineering, Southern Methodist University

• MOLDOVAN Dan

  Faculty of Department of Computer Science and Engineering, Southern Methodist University

• Moldovan Dan

  Faculty Of Department Of Computer Science And Engineering Southern Methodist University

• Harabagiu Sanda

  Faculty Of Department Of Computer Science And Engineering Southern Methodist University

関連論文

• Viewpoint-Based Similarity Discernment on SNAP
• High-Speed Similitude Retrieval for a Viewpoint-Based Similarity Discrimination System

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