ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Using web ontology language to integrate heterogeneous databases in the neurosciences.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- An open source knowledge graph ecosystem for the life sciences.Scientific data · 2024Article
- An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.BMC medical informatics and decision making · 2018Article
- An ontology-based search engine for digital reconstructions of neuronal morphology.Brain informatics · 2017Article
- Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases.BMC bioinformatics · 2013Article
- Structured digital tables on the Semantic Web: toward a structured digital literature.Molecular systems biology · 2010Article
- Integration of prostate cancer clinical data using an ontology.Journal of biomedical informatics · 2009Article
- Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies.BMC bioinformatics · 2009Article
- Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes.Cancer informatics · 2009Article
- The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.Neuroinformatics · 2008Article
- Issues in the design of a pilot concept-based query interface for the neuroinformatics information framework.Neuroinformatics · 2008Article
- Article
- Life Sciences and the web: a new era for collaboration.Molecular systems biology · 2008Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Integrative neuroscience involves the integration and analysis of diverse types of neuroscience data involving many different experimental techniques. This data will increasingly be distributed across many heterogeneous databases that are web-accessible. Currently, these databases do not expose their schemas (database structures) and their contents to web applications/agents in a standardized, machine-friendly way. This limits database interoperation. To address this problem, we describe a pilot project that illustrates how neuroscience databases can be expressed using the Web Ontology Language, which is a semantically-rich ontological language, as a common data representation language to facilitate complex cross-database queries. In this pilot project, an existing tool called 'D2RQ' was used to translate two neuroscience databases (NeuronDB and CoCoDat) into OWL, and the resulting OWL ontologies were then merged. An OWL-based reasoner (Racer) was then used to provide a sophisticated query language (nRQL) to perform integrated queries across the two databases based on the merged ontology. This pilot project is one step toward exploring the use of semantic web technologies in the neurosciences.
Indexed as
Identifiers
17238384PMC1839283What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.