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| Ward Blondé; Erick Antezana; Bernard De Baets; Vladimir Mironov; Martin Kuiper. |
| While OWL, the Web Ontology Language, is often regarded as the preferred language for Knowledge Representation in the world of the Semantic Web, the potential of direct representation in RDF, the Resource Description Framework, is underestimated. Here we show how ontologies adequately represented in RDF could be semantically enriched with SPARUL. To deal with the semantics of relations we created Metarel, a meta-ontology for relations. The utility of the approach is demonstrated by an application on Gene Ontology Annotation (GOA) RDF graphs in the RDF Knowledge Base BioGateway. We show that Metarel can facilitate inferencing in BioGateway, which allows for queries that are otherwise not possible. Metarel is available on http://www.metarel.org. |
| Tipo: Manuscript |
Palavras-chave: Genetics & Genomics; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3562/version/1 |
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| Vladimir Mironov. |
| We have compared the performance of five non-commercial triple stores, Virtuoso-open source, Jena SDB, Jena TDB, SWIFT-OWLIM and 4Store. We examined three performance aspects: the query execution time, scalability and run-to-run reproducibility. The queries we chose addressed different ontological or biological topics, and we obtained evidence that individual store performance was quite query specific. We identified three groups of queries displaying similar behavior across the different stores: 1) relatively short response time, 2) moderate response time and 3) relatively long response time. OWLIM proved to be a winner in the first group, 4Store in the second, and Virtuoso in the third. Our benchmarking showed Virtuoso to be a very balanced performer... |
| Tipo: Presentation |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5417/version/1 |
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| Erick Antezana; Vladimir Mironov; Mikel Egana; Robert Stevens; Ward Blondé; Bernard De Baets; Martin Kuiper. |
| The Cell Cycle Ontology (CCO) is an application ontology that automatically captures and integrates detailed knowledge on the cell cycle process by combining, interlinking and enriching knowledge from various sources. CCO uses Semantic Web technologies, and it is accessible via the web for browsing, visualising, advanced querying, and computational reasoning. CCO facilitates a detailed analysis of cell cycle related molecular network components. Through querying and automated reasoning, it may provide new hypotheses to help steer a systems biology approach to biological network building. The ontology is available on "http://www.cellcycleontology.org":http://www.cellcycleontology.org. Visual exploration can be done via the BioPortal, the... |
| Tipo: Poster |
Palavras-chave: Genetics & Genomics; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3563/version/1 |
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