Paper Info
Title
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs
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. Metarel can be downloaded from http://www.semantic-systems-biology.org/metarel.
Year
DOI
Venue
2014
10.3233/SW-130096
Semantic Web
Keywords
Field
DocType
rdf,linked data,sparql,relations,description logics,rules
Information retrieval,Computer science,Linked data,SPARQL,Simple Knowledge Organization System,Semantic Web Rule Language,RDF/XML,RDF Schema,RDF,Web Ontology Language
Journal
Volume
Issue
ISSN
5
2
1570-0844
Citations 
PageRank 
References 
2
0.64
25
Authors
6
Name
Order
Citations
PageRank
Ward Blondé1745.30
Erick Antezana233226.42
Vladimir Mironov317711.87
Stefan Schulz41092127.03
Martin Kuiper552132.47
Bernard De Baets62994300.39