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Published in W. M. Haynes, David R. Lide, Thomas J. Bruno, CRC Handbook of Chemistry and Physics, 2016
W. M. Haynes, David R. Lide, Thomas J. Bruno
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Building an information infrastructure of spectroscopic profiling data for food-drug quality and safety management
Published in Enterprise Information Systems, 2020
The design of the domain ontology uses a multi-layered scheme, i.e. each concept or property in the ontology can be further constrained by other terminologies. For example, test object (E0065.A0004) can be encoded by FOODON (Dooley et al. 2018; Griffiths et al. 2017); Modality (E0065.A0007) can be encoded by the PSI (Proteomics Standards Initiative) MS (Turewicz and Deutsch 2011; Mayer et al. 2013) terminology in case of mass spectrometry devices. In this way, the ontology acts as a backbone that can further reference external terminologies, to achieve extensibility and flexibility. Currently, the following terminology resources have been referenced: FOODON (Dooley et al. 2018; Griffiths et al. 2017) (20,910 items), ENVO (Buttigieg et al. 2016) (Environment Ontology, 562 items), PO (Cooper et al. 2016) (Plant Ontology, 1734 items), CHEBI (55,080 items), KEGG (Kanehisa et al. 2014) MEDICUS DGROUP (2119 terms) & DRUG (2206 terms), and PSI MS (Turewicz and Deutsch 2011; Mayer et al. 2013) (2935 terms). Extension by these terminologies gives a higher semantic granularity for concepts in the domain ontology, which helps to achieves better SDE (Structured Data Entry) and semantic interoperability (e.g. by annotating concepts with unique codes and coding systems) in actual applications.