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Approximate reasoning by analogy to answer null queries

Author: Dutta, Soumitra INSEAD Area: Technology and Operations ManagementIn: International Journal of Approximate Reasoning, Vol. 5, 1991 Language: EnglishDescription: p. 373-398.Type of document: INSEAD ArticleNote: Please ask the Library for this articleAbstract: Analogy refers to recognizing certain similarities between a source/situation object and a target situation/object and deriving some properties of the target based on the observed similarities with the source. Analogy is an important method in human cognition and is powerful computational tool for general inference. Null queries are queries which elicit a null answer from the database system, often due to the presence of incomplete information in the database, for example, the absence of certain attribute values for some objects. Analogy is useful for obtaining an approximate answer to a null query. This paper tries to develop the theoretical basis for the application of analogical reasoning to obtain approximate answers for null queries in the context of a fuzzy relational data model. Incorporating analogical reasoning in data models enhances their user-friendliness..
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Analogy refers to recognizing certain similarities between a source/situation object and a target situation/object and deriving some properties of the target based on the observed similarities with the source. Analogy is an important method in human cognition and is powerful computational tool for general inference. Null queries are queries which elicit a null answer from the database system, often due to the presence of incomplete information in the database, for example, the absence of certain attribute values for some objects. Analogy is useful for obtaining an approximate answer to a null query. This paper tries to develop the theoretical basis for the application of analogical reasoning to obtain approximate answers for null queries in the context of a fuzzy relational data model. Incorporating analogical reasoning in data models enhances their user-friendliness..

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