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RDF 1.1: Knowledge Representation and Data Integration Language for the Web

1
Institute of Informatics, University of Białystok, Konstantego Ciołkowskiego 1M, 15-245 Białystok, Poland
2
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane 4067, Australia
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(1), 84; https://doi.org/10.3390/sym12010084
Received: 9 November 2019 / Revised: 17 December 2019 / Accepted: 23 December 2019 / Published: 2 January 2020
Resource Description Framework (RDF) can seen as a solution in today’s landscape of knowledge representation research. An RDF language has symmetrical features because subjects and objects in triples can be interchangeably used. Moreover, the regularity and symmetry of the RDF language allow knowledge representation that is easily processed by machines, and because its structure is similar to natural languages, it is reasonably readable for people. RDF provides some useful features for generalized knowledge representation. Its distributed nature, due to its identifier grounding in IRIs, naturally scales to the size of the Web. However, its use is often hidden from view and is, therefore, one of the less well-known of the knowledge representation frameworks. Therefore, we summarise RDF v1.0 and v1.1 to broaden its audience within the knowledge representation community. This article reviews current approaches, tools, and applications for mapping from relational databases to RDF and from XML to RDF. We discuss RDF serializations, including formats with support for multiple graphs and we analyze RDF compression proposals. Finally, we present a summarized formal definition of RDF 1.1 that provides additional insights into the modeling of reification, blank nodes, and entailments. View Full-Text
Keywords: RDF; RDFS; Semantic Web; Linked Data; data model; blank node; reification; complexity; entailment; compression; binary RDF; data integration RDF; RDFS; Semantic Web; Linked Data; data model; blank node; reification; complexity; entailment; compression; binary RDF; data integration
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Tomaszuk, D.; Hyland-Wood, D. RDF 1.1: Knowledge Representation and Data Integration Language for the Web. Symmetry 2020, 12, 84.

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