Softer concepts mean smarter queries

T. Martin
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Abstract

The vision of a semantic Web incorporates many aspects which require flexible knowledge representation, learning and reasoning. These include: the mismatch between crisp hierarchical structures and the 'fuzzier" real world in which objects may have partial membership in classes; notions of approximate equality in data, and semantic equivalence of syntactically different structures; and robustness against inconsistent, missing, partial or incorrect data. In this paper we outline a system which uses concept hierarchies to focus queries. We concentrate on the need to avoid rigid definitions and allow uncertainty in the concept hierarchy, in order to combine diverse data sources.
更软的概念意味着更智能的查询
语义Web的愿景包含了许多方面,这些方面需要灵活的知识表示、学习和推理。这些问题包括:清晰的层次结构与“模糊”的现实世界之间的不匹配,在现实世界中,对象可能在类中具有部分成员资格;数据中近似相等的概念和不同句法结构的语义等价以及对不一致、缺失、部分或不正确数据的鲁棒性。在本文中,我们概述了一个使用概念层次来集中查询的系统。为了组合不同的数据源,我们将重点放在避免严格定义和允许概念层次结构中的不确定性的需要上。
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