在RDF和OWL中表示和查询有效时间:一种基于逻辑的方法

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
B. Motik
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引用次数: 84

摘要

RDF(S)和owl2目前只支持静态本体。然而,在实践中,陈述的真实性经常随着时间而变化,语义Web应用程序经常需要表示这种变化并对其进行推理。本文提出了一种基于逻辑的RDF和OWL有效时间表示方法。与现有的建议不同,我们的方法适用于不确定的蕴涵关系,例如owl2的直接语义或基于rdf的语义。我们还将SPARQL扩展到时态RDF图,并提出了一个查询求值算法。最后,我们对我们的算法进行了优化,该算法适用于以一组确定性规则为特征的蕴涵关系,例如RDF(S)和owl2 RL/RDF蕴涵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representing and querying validity time in RDF and OWL: A logic-based approach
RDF(S) and OWL 2 currently support only static ontologies. In practice, however, the truth of statements often changes with time, and Semantic Web applications often need to represent such changes and reason about them. In this paper we present a logic-based approach for representing validity time in RDF and OWL. Unlike the existing proposals, our approach is applicable to entailment relations that are not deterministic, such as the Direct Semantics or the RDF-Based Semantics of OWL 2.We also extend SPARQL to temporal RDF graphs and present a query evaluation algorithm. Finally, we present an optimization of our algorithm that is applicable to entailment relations characterized by a set of deterministic rules, such RDF(S) and OWL 2 RL/RDF entailment.
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来源期刊
Journal of Web Semantics
Journal of Web Semantics 工程技术-计算机:人工智能
CiteScore
6.20
自引率
12.00%
发文量
22
审稿时长
14.6 weeks
期刊介绍: The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.
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