用代数方法探讨Web中的知识表示标准

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-12-06 DOI:10.3103/S0005105522050065
E. M. Beniaminov
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引用次数: 0

摘要

包括Wikidata在内的现代开放链接数据系统建立在RDF、RDFstar、RDFa、OWL等本体表示标准和SPARQL、GraphQL等查询语言标准之上。同时,SWRL、RIF甚至OWL等公理表示标准很少使用,因为基于公理和重写规则在Web上呈现的本体中的计算没有被广泛使用。在这方面,文章建议利用代数计算理论和知识代数表示的丰富经验,创建一个方便的通用工具来构建本体论,该工具侧重于使用公理和重写规则来构建查询答案,而不仅仅是事实来计算查询答案。考虑了建立代数网络本体语言(Algebraic OWL)标准的可能性。考虑了此类标准的一些要素。使用了通用代数规范语言(CASL)、Mathematica系统以及Haskell和Prolog编程语言的经验和方法。
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Approaching the Standard of Knowledge Representation in the Web by Algebraic Means

Modern systems of open linked data, including Wikidata, are built on ontology representation standards such as RDF, RDFstar, RDFa, OWL, and query language standards such as SPARQL, GraphQL, etc. At the same time, the standards for the representation of axioms such as SWRL, RIF, and even OWL are little used, as calculations in ontologies presented on the Web based on axioms and rewriting rules are not widely used. In this regard, the article proposes to use the rich experience of the theory of algebraic calculations and algebraic representation of knowledge to create a convenient universal tool for constructing ontologies focused on computing answers to queries using axioms and rewriting rules to build answers to queries, and not just facts. The possibility of building a standard for the Algebraic Web Ontology Language (Algebraic OWL) is considered. Some elements of such standard is considered. The experience and methodologies of the approaches of the Common Algebraic Specification Language (CASL), the Mathematica system, and the Haskell and Prolog programming languages are used.

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来源期刊
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
18
期刊介绍: Automatic Documentation and Mathematical Linguistics  is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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