Explaining ambiguity in a formal query language

  • Authors:
  • Joseph A. Wald;Paul G. Sorenson

  • Affiliations:
  • Schlumberger Lab for Computer Science, Austin, TX;Univ. of Alberta, Edmonton, Alberta, Canada

  • Venue:
  • ACM Transactions on Database Systems (TODS)
  • Year:
  • 1990

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Abstract

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.