Literature DB >> 18048195

A database ontology for signal transduction pathways.

Andreas Kupfer1, Silke Eckstein, Britta Stormann, Brigitte Mathiak.   

Abstract

Ontologies are one of the key technologies for data integration and meta-databases, by connecting databases at a semantical level. Still, the database has to be connected to the ontology and vice versa. To achieve this, we propose a two step process. First, we automatically generate an ontology directly from the database schema. Next, we annotate this with concepts from a domain specific ontology. We demonstrate this for signal transduction pathways, which describe how cells can react to external stimuli. In this paper we present our mapping of database schemas to ontologies and describe how these ontologies can be enriched by semantical information.

Mesh:

Year:  2007        PMID: 18048195     DOI: 10.1504/IJBRA.2007.015006

Source DB:  PubMed          Journal:  Int J Bioinform Res Appl        ISSN: 1744-5485


  1 in total

1.  Mining semantic networks of bioinformatics e-resources from the literature.

Authors:  Hammad Afzal; James Eales; Robert Stevens; Goran Nenadic
Journal:  J Biomed Semantics       Date:  2011-03-07
  1 in total

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