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Different aspects of query rewriting for fuzzy OWL2EL

机译:模糊OWL2EL的查询重写的不同方面

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The use of ontologies in the Semantic Web allows for semantic query answering. The problem of answering queries in term of ontologies defined using Description Logic formalisms suffers from high worst-case complexity. The problem becomes more complex with fuzzy ontologies as fuzzy DLs should allow human-like expression and approximate reasoning. Many approaches for query rewriting have been proposed for enhancing crisp query processing. Given a query Q, the most common approach to query rewriting is the use of the terminological level of the knowledge base in order to define a query Q' that can be correctly evaluated on the assertional level only. Query rewriting for fuzzy knowledge base is not well treated in the literature. In this paper, we discuss different aspects of query rewriting for fuzzy OWL2EL ontologies and we propose to use rule based reasoning and views to enhance this process.
机译:语义网中本体的使用允许语义查询回答。根据使用描述逻辑形式主义定义的本体来回答查询的问题遭受着最坏情况下的高复杂度的困扰。对于模糊本体,问题变得更加复杂,因为模糊DL应该允许像人一样的表达和近似推理。已经提出了许多用于重写查询的方法,以增强清晰的查询处理。给定查询Q,查询重写的最常见方法是使用知识库的术语级别,以便定义仅可以在断言级别正确评估的查询Q'。关于模糊知识库的查询重写在文献中没有得到很好的对待。在本文中,我们讨论了模糊OWL2EL本体的查询重写的不同方面,并建议使用基于规则的推理和视图来增强此过程。

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