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.
Original language | English |
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Pages (from-to) | 101-106 |
Number of pages | 6 |
Journal | CEUR Workshop Proceedings |
Volume | 1015 |
Publication status | Published - 2013 |
Externally published | Yes |