A Foundation for Hybrid Knowledge Bases

نویسندگان

  • James J. Lu
  • Neil V. Murray
  • Erik Rosenthal
چکیده

Hybrid knowledge bases (HKB’s) [11] were developed to provide formal models for the mediation of data and knowledge bases [14,15]. They are based on Generalized Annotated Logic Programming (GAP)[7] and employ an inference mechanism, HKB-resolution, that is considerably simpler than those that have been proposed for GAP. The simplicity of HKB-resolution is explained in this paper by showing that it is a special case of ✵-resolution, which was introduced in [9]. A generalization of ✵-resolution to lattices that are not ordinary is also explored.

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تاریخ انتشار 1999