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Using the relation ontology Metarel for modelling Linked Data as multi-digraphs

(2014) SEMANTIC WEB. 5(2). p.115-126
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Abstract
The Semantic Web standards OWL and RDF are often used to represent biomedical information as Linked Data; however, the OWL/RDF syntax, which combines both, was never optimised for querying. By combining two formal paradigms for modelling Linked Data, namely multi-digraphs and Description Logic, many precise terms for relations have emerged that are defined in the Metarel relation ontology. They are especially useful in Linked Data and RDF knowledge bases that 1) rely on SPARQL querying and 2) require semantic support for chains of relations. Metarel-described multi-digraphs were used for knowledge integration and reasoning in three RDF knowledge bases in the domain of genome biology: BioGateway, Cell Cycle Ontology and Gene Expression Knowledge Base. These knowledge bases integrate both data, like KEGG, and ontologies, like Gene Ontology, in the same RDF graphs. Their libraries with biomedically relevant SPARQL queries show the practical benefits of this semantic paradigm. In addition to the management of RDF stores, this paper describes how Metarel can be used for remodelling Linked Data as SPARQL-friendly and semantically rich multi-digraphs.
Keywords
Description Logics, SPARQL, relations, RDF, Linked Data, rules, COORDINATED EVOLUTION, BIO-ONTOLOGIES, GENE ONTOLOGY, LIFE SCIENCES, SEMANTIC WEB, INFORMATION, RESOURCES, DBPEDIA, BIOLOGY, GENOMES

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Please use this url to cite or link to this publication:

MLA
Blondé, Ward et al. “Using the Relation Ontology Metarel for Modelling Linked Data as Multi-digraphs.” SEMANTIC WEB 5.2 (2014): 115–126. Print.
APA
Blondé, W., Antezana, E., Mironov, V., Schulz, S., Kuiper, M., & De Baets, B. (2014). Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. SEMANTIC WEB, 5(2), 115–126.
Chicago author-date
Blondé, Ward, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, and Bernard De Baets. 2014. “Using the Relation Ontology Metarel for Modelling Linked Data as Multi-digraphs.” Semantic Web 5 (2): 115–126.
Chicago author-date (all authors)
Blondé, Ward, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, and Bernard De Baets. 2014. “Using the Relation Ontology Metarel for Modelling Linked Data as Multi-digraphs.” Semantic Web 5 (2): 115–126.
Vancouver
1.
Blondé W, Antezana E, Mironov V, Schulz S, Kuiper M, De Baets B. Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. SEMANTIC WEB. 2014;5(2):115–26.
IEEE
[1]
W. Blondé, E. Antezana, V. Mironov, S. Schulz, M. Kuiper, and B. De Baets, “Using the relation ontology Metarel for modelling Linked Data as multi-digraphs,” SEMANTIC WEB, vol. 5, no. 2, pp. 115–126, 2014.
@article{8069459,
  abstract     = {The Semantic Web standards OWL and RDF are often used to represent biomedical information as Linked Data; however, the OWL/RDF syntax, which combines both, was never optimised for querying. By combining two formal paradigms for modelling Linked Data, namely multi-digraphs and Description Logic, many precise terms for relations have emerged that are defined in the Metarel relation ontology. They are especially useful in Linked Data and RDF knowledge bases that 1) rely on SPARQL querying and 2) require semantic support for chains of relations. 
Metarel-described multi-digraphs were used for knowledge integration and reasoning in three RDF knowledge bases in the domain of genome biology: BioGateway, Cell Cycle Ontology and Gene Expression Knowledge Base. These knowledge bases integrate both data, like KEGG, and ontologies, like Gene Ontology, in the same RDF graphs. Their libraries with biomedically relevant SPARQL queries show the practical benefits of this semantic paradigm. In addition to the management of RDF stores, this paper describes how Metarel can be used for remodelling Linked Data as SPARQL-friendly and semantically rich multi-digraphs.},
  author       = {Blondé, Ward and Antezana, Erick and Mironov, Vladimir and Schulz, Stefan and Kuiper, Martin and De Baets, Bernard},
  issn         = {1570-0844},
  journal      = {SEMANTIC WEB},
  keywords     = {Description Logics,SPARQL,relations,RDF,Linked Data,rules,COORDINATED EVOLUTION,BIO-ONTOLOGIES,GENE ONTOLOGY,LIFE SCIENCES,SEMANTIC WEB,INFORMATION,RESOURCES,DBPEDIA,BIOLOGY,GENOMES},
  language     = {eng},
  number       = {2},
  pages        = {115--126},
  title        = {Using the relation ontology Metarel for modelling Linked Data as multi-digraphs},
  url          = {http://dx.doi.org/10.3233/SW-130096},
  volume       = {5},
  year         = {2014},
}

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