A large-scale gene-centric semantic web knowledge base for molecular biology
Year: 2013
Type: conference-paper
Abstract: The discovery of the central role of genes in regulating the funda-mental biochemical processes of living things has driven biologists to collect, analyze and re-use enormous amounts of information, and to make this infor-mation available in thousands of curated databases. The increasingly popular use of specialized terminologies, often organized into hierarchical taxonomies or more formal ontologies, to describe this data indicates that managing the to-tal amount of resources available (big data) will surely continue to be an ongo-ing challenge. Here, we describe a biological gene-centric dataset (available at http://semanticscience.org/projects/gene-world), aimed at providing the reasoner community with a fully connected graph of data and ontologies of val-ue to the bioinformatics community and for which there currently exists signifi-cant challenges in using automated reasoning for consistency checking and que-ry answering of large ontology-mapped linked data.
Institution: Stanford University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2401305077