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Tractability and Intractability of Controlled Languages for Data Access

机译:数据访问受控语言的可伸缩性和难处理性

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In this paper we study the semantic data complexity of several controlled fragments of English designed for natural language front-ends to OWL (Web Ontology Language) and description logic ontology-based systems. Controlled languages are fragments of natural languages, obtained by restricting natural language syntax, vocabulary and semantics with the goal of eliminating ambiguity. Semantic complexity arises from the formal logic modelling of meaning in natural language and fragments thereof. It can be characterized as the computational complexity of the reasoning problems associated to their semantic representations. Data complexity (the complexity of answering a question over an ontology, stated in terms of the data items stored therein), in particular, provides a measure of the scalability of controlled languages to ontologies, since tractable data complexity implies scalability of data access. We present maximal tractable controlled languages and minimal intractable controlled languages.
机译:在本文中,我们研究了为OWL(Web本体语言)的自然语言前端和基于描述逻辑本体的系统而设计的几个受控英语片段的语义数据复杂性。受控语言是自然语言的片段,通过限制自然语言的语法,词汇和语义获得,以消除歧义。语义复杂性来自自然语言中的意义及其片段的形式逻辑建模。可以将其表征为与语义表示相关的推理问题的计算复杂性。数据复杂性(根据存储在其中的数据项表示的通过本体回答问题的复杂性)尤其提供了受控语言到本体的可伸缩性的度量,因为可处理的数据复杂性意味着数据访问的可伸缩性。我们介绍了最大的易处理受控语言和最小的难处理受控语言。

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