OBJECTIVE: Integrative neuroscience research needs a scalable informatics framework that enables semantic integration of diverse types of neuroscience data. This paper describes the use of the Web Ontology Language (OWL) and other Semantic Web technologies for the representation and integration of molecular-level data provided by several of SenseLab suite of neuroscience databases. METHODS: Based on the original database structure, we semi-automatically translated the databases into OWL ontologies with manual addition of semantic enrichment. The SenseLab ontologies are extensively linked to other biomedical Semantic Web resources, including the Subcellular Anatomy Ontology, Brain Architecture Management System, the Gene Ontology, BIRNLex and UniProt. The SenseLab ontologies have also been mapped to the Basic Formal Ontology and Relation Ontology, which helps ease interoperability with many other existing and future biomedical ontologies for the Semantic Web. In addition, approaches to representing contradictory research statements are described. The SenseLab ontologies are designed for use on the Semantic Web that enables their integration into a growing collection of biomedical information resources. CONCLUSION: We demonstrate that our approach can yield significant potential benefits and that the Semantic Web is rapidly becoming mature enough to realize its anticipated promises. The ontologies are available online at http://neuroweb.med.yale.edu/senselab/. 2009 Elsevier B.V. All rights reserved.
OBJECTIVE: Integrative neuroscience research needs a scalable informatics framework that enables semantic integration of diverse types of neuroscience data. This paper describes the use of the Web Ontology Language (OWL) and other Semantic Web technologies for the representation and integration of molecular-level data provided by several of SenseLab suite of neuroscience databases. METHODS: Based on the original database structure, we semi-automatically translated the databases into OWL ontologies with manual addition of semantic enrichment. The SenseLab ontologies are extensively linked to other biomedical Semantic Web resources, including the Subcellular Anatomy Ontology, Brain Architecture Management System, the Gene Ontology, BIRNLex and UniProt. The SenseLab ontologies have also been mapped to the Basic Formal Ontology and Relation Ontology, which helps ease interoperability with many other existing and future biomedical ontologies for the Semantic Web. In addition, approaches to representing contradictory research statements are described. The SenseLab ontologies are designed for use on the Semantic Web that enables their integration into a growing collection of biomedical information resources. CONCLUSION: We demonstrate that our approach can yield significant potential benefits and that the Semantic Web is rapidly becoming mature enough to realize its anticipated promises. The ontologies are available online at http://neuroweb.med.yale.edu/senselab/. 2009 Elsevier B.V. All rights reserved.
Authors: M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock Journal: Nat Genet Date: 2000-05 Impact factor: 38.330
Authors: Luis Marenco; Nicholas Tosches; Chiquito Crasto; Gordon Shepherd; Perry L Miller; Prakash M Nadkarni Journal: J Am Med Inform Assoc Date: 2003-06-04 Impact factor: 4.497
Authors: Barry Smith; Michael Ashburner; Cornelius Rosse; Jonathan Bard; William Bug; Werner Ceusters; Louis J Goldberg; Karen Eilbeck; Amelia Ireland; Christopher J Mungall; Neocles Leontis; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Nigam Shah; Patricia L Whetzel; Suzanna Lewis Journal: Nat Biotechnol Date: 2007-11 Impact factor: 54.908
Authors: Chiquito J Crasto; Luis N Marenco; Nian Liu; Thomas M Morse; Kei-Hoi Cheung; Peter C Lai; Gautam Bahl; Peter Masiar; Hugo Y K Lam; Ernest Lim; Huajin Chen; Prakash Nadkarni; Michele Migliore; Perry L Miller; Gordon M Shepherd Journal: Brief Bioinform Date: 2007-05-17 Impact factor: 11.622
Authors: Kei-Hoi Cheung; Ernest Lim; Matthias Samwald; Huajun Chen; Luis Marenco; Matthew E Holford; Thomas M Morse; Pradeep Mutalik; Gordon M Shepherd; Perry L Miller Journal: Brief Bioinform Date: 2009-07 Impact factor: 11.622
Authors: Barry Smith; Werner Ceusters; Bert Klagges; Jacob Köhler; Anand Kumar; Jane Lomax; Chris Mungall; Fabian Neuhaus; Alan L Rector; Cornelius Rosse Journal: Genome Biol Date: 2005-04-28 Impact factor: 13.583
Authors: Alan Ruttenberg; Tim Clark; William Bug; Matthias Samwald; Olivier Bodenreider; Helen Chen; Donald Doherty; Kerstin Forsberg; Yong Gao; Vipul Kashyap; June Kinoshita; Joanne Luciano; M Scott Marshall; Chimezie Ogbuji; Jonathan Rees; Susie Stephens; Gwendolyn T Wong; Elizabeth Wu; Davide Zaccagnini; Tonya Hongsermeier; Eric Neumann; Ivan Herman; Kei-Hoi Cheung Journal: BMC Bioinformatics Date: 2007-05-09 Impact factor: 3.169