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MAKING THE KNOWLEDGE-BASE SYSTEMS MORE EFFICIENT - A METHOD TO DETECT INCONSISTENT QUERIES
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DOI：10.1109/69.298179.png)
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摘要
En 中文
The processing cost of queries with an empty answer, both in the database and knowledge base context, is usually high. One purpose of semantic query optimization methods in the database context is to use semantic knowledge to detect such types of queries. Although semantic query optimization is well known in the database context, this is not the case for knowledge base systems (KBS's). This paper presents a method that allows the detection of queries with an empty answer using only semantic information expressed in the knowledge base definition. The method can be applied in the context of KBS's that provide some of the following features: structuring mechanisms, assertional knowledge, temporal information, and handling of inequality expressions.
Keyword:
DEDUCTION AND THEOREM PROVING
KNOWLEDGE BASE SYSTEMS
QUERY OPTIMIZATION
QUERY PROCESSING
RESOLUTION
SEMANTIC QUERY OPTIMIZATION
TEMPORAL KNOWLEDGE
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期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
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