Using the Metagraph Approach for Addressing RDF Knowledge Representation Limitations

Chernenkiy, Valeriy, Gapanyuk, Yuriy, Nardid, Anatoly, Skvortsova, Maria, Gushcha, Anton, Fedorenko, Yuriy and Picking, Rich (2017) Using the Metagraph Approach for Addressing RDF Knowledge Representation Limitations. In: 7th IEEE Int. Conference on Internet Technologies and Applications ITA-17, Wrexham, UK, 12-15 September 2017, Wrexham, UK.

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Abstract

This paper proposes an approach for addressing Resource Description Framework (RDF) knowledge representation limitations using an emergent graph model. The metagraph model is proposed to solve this problem. The formal definition of the metagraph model is given. Metagraph and hypergraph models are compared and it is shown that the hypergraph model does not implement the emergence principle. Textual predicate representation of the metagraph model is given covering all the main elements of the metagraph data model. RDF reification limitation and N-ary relationship limitation are examined. It is shown that the metagraph model addresses RDF limitations in a natural way without emergence loss. Proposed textual representation of the metagraph model allows clear and emergent description of the examined problems.

Item Type: Conference or Workshop Item (Paper)
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 20 Nov 2018 15:53
Last Modified: 20 Nov 2018 15:53
URI: http://glyndwr.repository.guildhe.ac.uk/id/eprint/17355

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