Knowledge Representation (KR) languages such as OWL (Web Ontology Language), offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies. Bio-ontologies are widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be fully computationally exploited. A solution is provided by the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. In order for ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created. Such ODPs can be applied automatically with the Ontology PreProcessor Language (OPPL). The infrastructure for applying ODPs formed by the catalogue and OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the change on ontology quality.
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Mikel Egaņa Aranguren was born in Bilbo, Spain, in 1979. He graduated from the University of Basque Country with a degree in Biology. He completed an M.Sc. in Bioinformatics and a Ph.D. in Computer Science, both at the University of Manchester, UK. He has published extensively about the application of Semantic Web technologies to biology.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge Representation (KR) languages such as OWL (Web Ontology Language), offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies. Bio-ontologies are widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be fully computationally exploited. A solution is provided by the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. In order for ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created. Such ODPs can be applied automatically with the Ontology PreProcessor Language (OPPL). The infrastructure for applying ODPs formed by the catalogue and OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the change on ontology quality. 184 pp. Englisch. Codice articolo 9783843376617
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge Representation (KR) languages such as OWL (Web Ontology Language), offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies. Bio-ontologies are widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be fully computationally exploited. A solution is provided by the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. In order for ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created. Such ODPs can be applied automatically with the Ontology PreProcessor Language (OPPL). The infrastructure for applying ODPs formed by the catalogue and OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the change on ontology quality. Codice articolo 9783843376617
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge Representation (KR) languages such as OWL (Web Ontology Language), offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies. Bio-ontologies are widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be fully computationally exploited. A solution is provided by the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. In order for ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created. Such ODPs can be applied automatically with the Ontology PreProcessor Language (OPPL). The infrastructure for applying ODPs formed by the catalogue and OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the change on ontology quality.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Codice articolo 9783843376617
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Role and application of Ontology Design Patterns in bio-ontologies | Catalogues, methods and tools for applying ODPs in OWL ontologies that describe information from life sciences | Mikel Egaņa Aranguren | Taschenbuch | 184 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843376617 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107217084
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