Cited By
View all- Hooshafza SOrlandi FFlynn RMcQuaid LStephens GO'Connor L(2022)Modelling temporal data in knowledge graphs: a systematic review protocolHRB Open Research10.12688/hrbopenres.13403.24(101)Online publication date: 2-Aug-2022
A New query method for the temporal RDF Model RDFMT Based on SPARQL
Author: 
Haixia LiAuthors Info & Claims
Haixia LiAuthors Info & ClaimsArticle No.: 24, Pages 1 - 6
Abstract
With the explosion of real-time data, the representation and query of temporal data has become a hot research topic. Many researchers have proposed various temporal representation models and query methods. On the basis of the proposed temporal model RDFMT, we put forward the query language SPARQLMT for RDFMT. SPARQLMT is expanded based on SPARQL language, adding a syntax and semantics that is convenient for querying temporal information. As we all know, SPARQL is the official query language of the standard RDF model. SPARQLMT is based on SPARQL, which is also conducive to using the SPARQL query engine. In this paper we mainly illustrate a query method SPARQLMT for the RDFMT by extending SPARQL and give the semantics and syntax of SPARQLMT.
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May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
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Published: 18 August 2021
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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
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View all- Hooshafza SOrlandi FFlynn RMcQuaid LStephens GO'Connor L(2022)Modelling temporal data in knowledge graphs: a systematic review protocolHRB Open Research10.12688/hrbopenres.13403.24(101)Online publication date: 2-Aug-2022
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