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The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing

BACKGROUND: The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives. METHOD: The BioHubKB is the data repos...

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Autores principales: Read, Warren J., Demetriou, George, Nenadic, Goran, Ruddock, Noel, Stevens, Robert, Winter, Jerry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888476/
https://www.ncbi.nlm.nih.gov/pubmed/27246819
http://dx.doi.org/10.1186/s13326-016-0071-3
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author Read, Warren J.
Demetriou, George
Nenadic, Goran
Ruddock, Noel
Stevens, Robert
Winter, Jerry
author_facet Read, Warren J.
Demetriou, George
Nenadic, Goran
Ruddock, Noel
Stevens, Robert
Winter, Jerry
author_sort Read, Warren J.
collection PubMed
description BACKGROUND: The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives. METHOD: The BioHubKB is the data repository of the IKMS; it employs Semantic Web technologies, especially OWL, to host data about chemical transformations, bio-renewable feedstocks, co-product streams and their chemical components. Access to this knowledge base is provided to other modules within the IKMS through a set of RESTful web services, driven by SPARQL queries to a Sesame back-end. The BioHubKB re-uses several bio-ontologies and bespoke extensions, primarily for chemical feedstocks and products, to form its knowledge organisation schema. RESULTS: Parts of plants form feedstocks, while various processes generate co-product streams that contain certain chemicals. Both chemicals and transformations are associated with certain qualities, which the BioHubKB also attempts to capture. Of immediate commercial and industrial importance is to estimate the cost of particular sets of chemical transformations (leading to candidate surfactants) performed in sequence, and these costs too are captured. Data are sourced from companies’ internal knowledge and document stores, and from the publicly available literature. Both text analytics and manual curation play their part in populating the ontology. We describe the prototype IKMS, the BioHubKB and the services that it supports for the IKMS. AVAILABILITY: The BioHubKB can be found via http://biohub.cs.manchester.ac.uk/ontology/biohub-kb.owl.
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spelling pubmed-48884762016-06-02 The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing Read, Warren J. Demetriou, George Nenadic, Goran Ruddock, Noel Stevens, Robert Winter, Jerry J Biomed Semantics Research BACKGROUND: The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives. METHOD: The BioHubKB is the data repository of the IKMS; it employs Semantic Web technologies, especially OWL, to host data about chemical transformations, bio-renewable feedstocks, co-product streams and their chemical components. Access to this knowledge base is provided to other modules within the IKMS through a set of RESTful web services, driven by SPARQL queries to a Sesame back-end. The BioHubKB re-uses several bio-ontologies and bespoke extensions, primarily for chemical feedstocks and products, to form its knowledge organisation schema. RESULTS: Parts of plants form feedstocks, while various processes generate co-product streams that contain certain chemicals. Both chemicals and transformations are associated with certain qualities, which the BioHubKB also attempts to capture. Of immediate commercial and industrial importance is to estimate the cost of particular sets of chemical transformations (leading to candidate surfactants) performed in sequence, and these costs too are captured. Data are sourced from companies’ internal knowledge and document stores, and from the publicly available literature. Both text analytics and manual curation play their part in populating the ontology. We describe the prototype IKMS, the BioHubKB and the services that it supports for the IKMS. AVAILABILITY: The BioHubKB can be found via http://biohub.cs.manchester.ac.uk/ontology/biohub-kb.owl. BioMed Central 2016-06-01 /pmc/articles/PMC4888476/ /pubmed/27246819 http://dx.doi.org/10.1186/s13326-016-0071-3 Text en © Read et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Read, Warren J.
Demetriou, George
Nenadic, Goran
Ruddock, Noel
Stevens, Robert
Winter, Jerry
The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title_full The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title_fullStr The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title_full_unstemmed The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title_short The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing
title_sort biohub knowledge base: ontology and repository for sustainable biosourcing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888476/
https://www.ncbi.nlm.nih.gov/pubmed/27246819
http://dx.doi.org/10.1186/s13326-016-0071-3
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