- Author
- Ward Blondé
- Promoter
- Bernard De Baets (UGent) and Martin Kuiper
- Organization
- Abstract
- Knowledge management has become indispensible in the Life Sciences for integrating and querying the enormous amounts of detailed knowledge about genes, organisms, diseases, drugs, cells, etc. Such detailed knowledge is continuously generated in bioinformatics via both hardware (e.g. raw data dumps from micro‐arrays) and software (e.g. computational analysis of data). Well‐known frameworks for managing knowledge are relational databases and spreadsheets. The doctoral dissertation describes knowledge management in two more recently‐investigated frameworks: ontologies and the Semantic Web. Knowledge statements like ‘lions live in Africa’ and ‘genes are located in a cell nucleus’ are managed with the use of URIs, logics and the ontological distinction between instances and classes. Both theory and practice are described. Metarel, the core subject of the dissertation, is an ontology describing relations that can bridge the mismatch between network‐based relations that appeal to internet browsing and logic‐based relations that are formally expressed in Description Logic. Another important subject of the dissertation is BioGateway, which is a knowledge base that has integrated biomedical knowledge in the form of hundreds of millions of network‐based relations in the RDF format. Metarel was used to upgrade the logical meaning of these relations towards Description Logic. This has enabled to build a computer reasoner that could run over the knowledge base and derive new knowledge statements.
- Keywords
- Logic, RDF, Knowledge Management, Semantic Web, Relation, Ontology
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2913369
- MLA
- Blondé, Ward. Metarel, an Ontology Facilitating Advanced Querying of Biomedical Knowledge. Ghent University. Faculty of Bioscience Engineering, 2012.
- APA
- Blondé, W. (2012). Metarel, an ontology facilitating advanced querying of biomedical knowledge. Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium.
- Chicago author-date
- Blondé, Ward. 2012. “Metarel, an Ontology Facilitating Advanced Querying of Biomedical Knowledge.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
- Chicago author-date (all authors)
- Blondé, Ward. 2012. “Metarel, an Ontology Facilitating Advanced Querying of Biomedical Knowledge.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
- Vancouver
- 1.Blondé W. Metarel, an ontology facilitating advanced querying of biomedical knowledge. [Ghent, Belgium]: Ghent University. Faculty of Bioscience Engineering; 2012.
- IEEE
- [1]W. Blondé, “Metarel, an ontology facilitating advanced querying of biomedical knowledge,” Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium, 2012.
@phdthesis{2913369, abstract = {{Knowledge management has become indispensible in the Life Sciences for integrating and querying the enormous amounts of detailed knowledge about genes, organisms, diseases, drugs, cells, etc. Such detailed knowledge is continuously generated in bioinformatics via both hardware (e.g. raw data dumps from micro‐arrays) and software (e.g. computational analysis of data). Well‐known frameworks for managing knowledge are relational databases and spreadsheets. The doctoral dissertation describes knowledge management in two more recently‐investigated frameworks: ontologies and the Semantic Web. Knowledge statements like ‘lions live in Africa’ and ‘genes are located in a cell nucleus’ are managed with the use of URIs, logics and the ontological distinction between instances and classes. Both theory and practice are described. Metarel, the core subject of the dissertation, is an ontology describing relations that can bridge the mismatch between network‐based relations that appeal to internet browsing and logic‐based relations that are formally expressed in Description Logic. Another important subject of the dissertation is BioGateway, which is a knowledge base that has integrated biomedical knowledge in the form of hundreds of millions of network‐based relations in the RDF format. Metarel was used to upgrade the logical meaning of these relations towards Description Logic. This has enabled to build a computer reasoner that could run over the knowledge base and derive new knowledge statements.}}, author = {{Blondé, Ward}}, isbn = {{9789059895324}}, keywords = {{Logic,RDF,Knowledge Management,Semantic Web,Relation,Ontology}}, language = {{eng}}, pages = {{XVI, 226}}, publisher = {{Ghent University. Faculty of Bioscience Engineering}}, school = {{Ghent University}}, title = {{Metarel, an ontology facilitating advanced querying of biomedical knowledge}}, year = {{2012}}, }