Model for lexical knowledge base

作者: Michio Isoda , Hideo Aiso

DOI: 10.3115/991365.991498

关键词: Construct (python library)Key (cryptography)Computer scienceDatabase modelBase (topology)Natural languageArtificial intelligenceKnowledge-based systemsNatural language processingTest data generation

摘要: This paper describes a model for lexical knowledge base (LKB). An LKB is management system (KBMS) which stores various kinds of dictionary in uniform framework and provides multiple viewpoints to the stored knowledge.KBMSs natural language will be fundamental components knowledgeable environments where non-computer professionals can use support tools document preparation or translation. However, basic models such KBMSs have not been established yet. Thus, we propose an focusing on as that obtained from machine-readable dictionaries.When given key user, it accesses associated with key. In addition conventional direct retrieval, has more intelligent access capability retrieve related through relationships among units. To represent complex irregular relationships, employ notion implicit relationships. contrast database between data items are statically defined at generation time, extracts dynamically by interpreting contents run time. makes flexible; users add new functions incrementally any The also define construct virtual dictionaries existing dictionaries. Thus their own customized suitable specific purposes.The proposed logical foundation building flexible LKBs.

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