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Development of Intelligent SPARQL Query Editor
Author(s) -
I. A. Turova,
Igor Postanogov
Publication year - 2022
Publication title -
vestnik novosibirskogo gosudarstvennogo universiteta. seriâ: informacionnye tehnologii/vestnik novosibirskogo gosudarstvennogo universiteta. seriâ: informacionnye tehnologii v obrazovanii
Language(s) - English
Resource type - Journals
eISSN - 2410-0420
pISSN - 1818-7900
DOI - 10.25205/1818-7900-2021-19-4-85-95
Subject(s) - sparql , computer science , rdf , rdf query language , named graph , information retrieval , query language , semantic web , world wide web , web search query , web query classification , search engine
The paper discusses the development of SPARQL query editor. This is an actual question because of the growth of Semantic Web data – the data presented in RDF/OWL formats. A comparative analysis of different types of editors and their main features is provided. In this paper, we propose a description of a SPARQL editor that combines three most useful features: intelligent completions, query visualization comparison of query results provided by different reasoners or without them. The editor provides SPARQL support as LSP service, this approach is considered a modern way to implement language support. This paper also presents the editor’s screenshots.

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