Reasoning with bio-ontologies: using relational closure rules to enable practical querying | Zendy

Ward Blondé | Zendy; Vladimir Mironov | Zendy; Aravind Venkatesan | Zendy; Erick Antezana | Zendy; Bernard De Baets | Zendy; Martin Kuiper | Zendy

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Reasoning with bio-ontologies: using relational closure rules to enable practical querying

Author(s) -

Ward Blondé,

Vladimir Mironov,

Aravind Venkatesan,

Erick Antezana,

Bernard De Baets,

Martin Kuiper

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr164

Subject(s) - computer science , ontology , open biomedical ontologies , idef5 , relation (database) , knowledge base , knowledge representation and reasoning , rdf , vocabulary , description logic , semantics (computer science) , web ontology language , ontology language , semantic web , process (computing) , controlled vocabulary , information retrieval , ontology components , process ontology , world wide web , artificial intelligence , database , programming language , suggested upper merged ontology , philosophy , linguistics , epistemology

Ontologies have become indispensable in the Life Sciences for managing large amounts of knowledge. The use of logics in ontologies ranges from sound modelling to practical querying of that knowledge, thus adding a considerable value. We conceive reasoning on bio-ontologies as a semi-automated process in three steps: (i) defining a logic-based representation language; (ii) building a consistent ontology using that language; and (iii) exploiting the ontology through querying.

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