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  • 标题:Exact Query Reformulation over Databases with First-order and Description Logics Ontologies
  • 本地全文:下载
  • 作者:E. Franconi ; V. Kerhet ; N. Ngo
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2013
  • 卷号:48
  • 页码:885-922
  • 出版社:American Association of Artificial
  • 摘要:We study a general framework for query rewriting in the presence of an arbitrary first-order logic ontology over a database signature. The framework supports deciding the existence of a safe-range first-order equivalent reformulation of a query in terms of the database signature, and if so, it provides an effective approach to construct the reformulation based on interpolation using standard theorem proving techniques (e.g., tableau). Since the reformulation is a safe-range formula, it is effectively executable as an SQL query. At the end, we present a non-trivial application of the framework with ontologies in the very expressive ALCHOIQ description logic, by providing effective means to compute safe-range first-order exact reformulations of queries.
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