title: SEMEDA: ontology based semantic integration of biological databases.
abstract: BACKGROUND
  Many molecular biological databases are implemented on relational Database Management Systems, which provide standard interfaces like JDBC and ODBC for data and metadata exchange. By using these interfaces, many technical problems of database integration vanish and issues related to semantics remain, e.g. the use of different terms for the same things, different names for equivalent database attributes and missing links between relevant entries in different databases.
  
  
  RESULTS
  In this publication, principles and methods that were used to implement SEMEDA (Semantic Meta Database) are described. Database owners can use SEMEDA to provide semantically integrated access to their databases as well as to collaboratively edit and maintain ontologies and controlled vocabularies. Biologists can use SEMEDA to query the integrated databases in real time without having to know the structure or any technical details of the underlying databases.
  
  
  BACKGROUND
  SEMEDA is available at http://www-bm.ipk-gatersleben.de/semeda/. Database providers who intend to grant access to their databases via SEMEDA are encouraged to contact the authors.
authors.affiliation: AG Bioinformatics, Technical Faculty, Bielefeld University, Germany. jacob.koehler@uni-bielefeld.de
authors.forename: Jacob
authors.initials: J
authors.lastname: Köhler
authors.forename: Stephan
authors.initials: S
authors.lastname: Philippi
authors.forename: Matthias
authors.initials: M
authors.lastname: Lange
mesh_terms: D019295:Computational Biology / Q000379:methods; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D012660:Semantics; D018511:Systems Integration; D009626:Terminology as Topic; D014584:User-Computer Interface; D018875:Vocabulary, Controlled