Explaining ambiguity in a formal query language
The problem of generating reasonable natural language-like responses to queries formulated in nonnavigational query languages with logical data independence is addressed. An extended ER model, the Entity-Relationship-Involvement model, is defined which assists in providing a greater degree of logica...
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Veröffentlicht in: | ACM transactions on database systems 1990-06, Vol.15 (2), p.125-161 |
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creator | Wald, Joseph A. Sorenson, Paul G. |
description | The problem of generating reasonable natural language-like responses to queries formulated in nonnavigational query languages with logical data independence is addressed. An extended ER model, the Entity-Relationship-Involvement model, is defined which assists in providing a greater degree of logical data independence and the generation of natural language explanations of a query processor's interpretation of a query. These are accomplished with the addition of the concept of an involvement to the model. Based on involvement definitions in a formally defined data definition language, DDL, an innovative strategy for generating explanations is outlined and exemplified. In the conclusion, possible extensions to the approach are given. |
doi_str_mv | 10.1145/78922.78923 |
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An extended ER model, the Entity-Relationship-Involvement model, is defined which assists in providing a greater degree of logical data independence and the generation of natural language explanations of a query processor's interpretation of a query. These are accomplished with the addition of the concept of an involvement to the model. Based on involvement definitions in a formally defined data definition language, DDL, an innovative strategy for generating explanations is outlined and exemplified. 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In the conclusion, possible extensions to the approach are given.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Data management systems</subject><subject>Data model extensions</subject><subject>Database design and models</subject><subject>Database management system engines</subject><subject>Database query processing</subject><subject>Database query processing and optimization (theory)</subject><subject>Database theory</subject><subject>Exact sciences and technology</subject><subject>Information systems</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. 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source | ACM Digital Library Complete |
subjects | Applied sciences Computer science control theory systems Data management systems Data model extensions Database design and models Database management system engines Database query processing Database query processing and optimization (theory) Database theory Exact sciences and technology Information systems Information systems. Data bases Memory organisation. Data processing Query languages Software Theory and algorithms for application domains Theory of computation |
title | Explaining ambiguity in a formal query language |
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