Ontology Query Inference Approximation Method Based on Minimal Explanation
An approximation method, the smallest technology, applied in electrical digital data processing, special data processing applications, complex mathematical operations, etc.
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[0022] Professor Gottlob and others published the paper "Ontological Queries: Rewriting and Optimization" in the ICDE2011 International Database Engineering Conference, and proposed an accurate method for query reasoning in the datalog± ontology. This method exhaustively invokes two types of rules to apply (applicability) rules and factorizability (factorizability) rules, rewrite the input joint query into multiple new queries according to the TBox part of the given datalog± ontology, and then pass these new queries Directly access the ABox part of the given datalog ontology to get the respective set of query answers. The union of these query answer sets is equal to the answer set for a given query. Since the new query obtained by rewriting may contain an infinite number of atoms, this method cannot guarantee that for any given datalog± ontology, the query answer can be completed within a finite time.
[0023] The present invention has carried out the following transformation...
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