Knowledge organization and access in a conceptual information system

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Traditional approaches to information retrieval, based on automatic or manually constructed keywords, are inappropriate for certain desirable tasks in an intelligent information system. Obtaining simple answers to direct questions, a summary of an event sequence that could span multiple documents, and an update of recent developments in an ongoing event sequence are three examples of such tasks.In this paper, the SCISOR system is described. SCISOR illustrates the potential for increased recall and precision of stored information through the understanding in context of articles in its domain of corporate takeovers. A constrained form of marker passing is used to answer queries of the knowledge base posed in natural language. Among other desirable characteristics, this method of retrieval focuses search on likely candidates, and tolerates incomplete or incorrect input indices very well.

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论文评审过程:Received 27 February 1987, Available online 13 July 2002.

论文官网地址:https://doi.org/10.1016/0306-4573(87)90018-5