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A database system for the analysis of biochemical pathways.
Rojas, Isabel; Bernardi, Luca; Ratsch, Esther; Kania, Renate; Wittig, Ulrike; Saric, Jasmin.
Affiliation
  • Rojas I; European Media Laboratory, Heidelberg, Germany. Rojas@eml.villa-bosch.de
In Silico Biol ; 2(2): 75-86, 2002.
Article in En | MEDLINE | ID: mdl-12066842
ABSTRACT
To provide support for the analysis of biochemical pathways a database system based on a model that represents the characteristics of the domain is needed. This domain has proven to be difficult to model by using conventional data modelling techniques. We are building an ontology for biochemical pathways, which acts as the basis for the generation of a database on the same domain, allowing the definition of complex queries and complex data representation. The ontology is used as a modelling and analysis tool which allows the expression of complex semantics based on a first-order logic representation language. The induction capabilities of the system can help the scientist in formulating and testing research hypotheses that are difficult to express with the standard relational database mechanisms. An ontology representing the shared formalisation of the knowledge in a scientific domain can also be used as data integration tool clarifying the mapping of concepts to the developers of different databases. In this paper we describe the general structure of our system, concentrating on the ontology-based database as the key component of the system.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Biochemical Phenomena / Information Systems / Databases, Factual / Information Storage and Retrieval Type of study: Prognostic_studies Limits: Humans Language: En Journal: In Silico Biol Journal subject: BIOLOGIA MOLECULAR Year: 2002 Document type: Article Affiliation country:
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Collection: 01-internacional Database: MEDLINE Main subject: Biochemical Phenomena / Information Systems / Databases, Factual / Information Storage and Retrieval Type of study: Prognostic_studies Limits: Humans Language: En Journal: In Silico Biol Journal subject: BIOLOGIA MOLECULAR Year: 2002 Document type: Article Affiliation country:
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