Abstract
Model trees were conceived as a structure-sharing approach to represent information in disjunctive deductive databases. In this paper we introduce the concept ofordered minimal model trees as a normal form for disjunctive deductive databases. These are model trees in which an order is imposed on the elements of the Herbrand base. The properties of ordered minimal model trees are investigated as well as their possible utilization for efficient manipulation of disjunctive deductive databases. Algorithms are presented for constructing and performing operations on ordered model trees. The complexity of ordered model tree processing is addressed. Model forests are presented as an approach to reduce the complexity of ordered model tree construction and processing.
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This research was supported by the National Science Foundation, under the grant Nr. IRI-89-16059, the Air Force Office of Scientific Research, under the grant Nr. AFOSR-91-0350, and the Fulbright Scholar Program.
This work was done while visiting at the University of Maryland Institute for Advanced Computer Studies.
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Yahya, A., Fernández, J.A. & Minker, J. Ordered model trees: A normal form for disjunctive deductive databases. J Autom Reasoning 13, 117–143 (1994). https://doi.org/10.1007/BF00881914
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DOI: https://doi.org/10.1007/BF00881914