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The Chemical Information Ontology: Provenance and Disambiguation for Chemical Data on the Biological Semantic Web

Overview of attention for article published in PLOS ONE, October 2011
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Title
The Chemical Information Ontology: Provenance and Disambiguation for Chemical Data on the Biological Semantic Web
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025513
Pubmed ID
Authors

Janna Hastings, Leonid Chepelev, Egon Willighagen, Nico Adams, Christoph Steinbeck, Michel Dumontier

Abstract

Cheminformatics is the application of informatics techniques to solve chemical problems in silico. There are many areas in biology where cheminformatics plays an important role in computational research, including metabolism, proteomics, and systems biology. One critical aspect in the application of cheminformatics in these fields is the accurate exchange of data, which is increasingly accomplished through the use of ontologies. Ontologies are formal representations of objects and their properties using a logic-based ontology language. Many such ontologies are currently being developed to represent objects across all the domains of science. Ontologies enable the definition, classification, and support for querying objects in a particular domain, enabling intelligent computer applications to be built which support the work of scientists both within the domain of interest and across interrelated neighbouring domains. Modern chemical research relies on computational techniques to filter and organise data to maximise research productivity. The objects which are manipulated in these algorithms and procedures, as well as the algorithms and procedures themselves, enjoy a kind of virtual life within computers. We will call these information entities. Here, we describe our work in developing an ontology of chemical information entities, with a primary focus on data-driven research and the integration of calculated properties (descriptors) of chemical entities within a semantic web context. Our ontology distinguishes algorithmic, or procedural information from declarative, or factual information, and renders of particular importance the annotation of provenance to calculated data. The Chemical Information Ontology is being developed as an open collaborative project. More details, together with a downloadable OWL file, are available at http://code.google.com/p/semanticchemistry/ (license: CC-BY-SA).

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Geographical breakdown

Country Count As %
United States 9 6%
Netherlands 3 2%
United Kingdom 3 2%
Germany 1 <1%
India 1 <1%
Bulgaria 1 <1%
Malaysia 1 <1%
Mexico 1 <1%
Canada 1 <1%
Other 2 1%
Unknown 116 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 27%
Student > Ph. D. Student 26 19%
Other 15 11%
Student > Bachelor 15 11%
Student > Master 12 9%
Other 24 17%
Unknown 9 6%
Readers by discipline Count As %
Computer Science 31 22%
Chemistry 25 18%
Agricultural and Biological Sciences 22 16%
Engineering 11 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 30 22%
Unknown 15 11%