A multi-ontology framework to guide agriculture and food towards diet and health

被引:21
作者
Lange, Matthew C.
Lemay, Danielle G.
German, J. Bruce [1 ]
机构
[1] Univ Calif Davis, Dept Food Sci & Technol, Davis, CA 95616 USA
[2] Nestle Res Ctr, CH-1000 Lausanne, Switzerland
关键词
ontology; data; food; diet; health; database;
D O I
10.1002/jsfa.2832
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Global increases in metabolic diseases that can be influenced by diet have re-emphasized the importance of considering how different foods can improve human health. The entire agricultural enterprise has an unprecedented opportunity to increase its value by producing foods that improve the health of consumers. Research efforts in agriculture/food science/nutrition are endeavoring to do so, although little tangible success has been achieved. At the core of the problem is a failure to define the goal itself. health. Health, as a scientifically measurable concept, is poorly defined relative to disease, and yet consensus-based, curated vocabularies that describe the multiple variations in human health in useful terms are critical to unifying the scientific fields related to agriculture and nutrition. Each of the life-science disciplines relating to health has developed databases, thesauri, and/or ontologies to capture such knowledge. High-throughput and -omic technologies are expanding both the amount and heterogeneity of available information. Unfortunately, the language used to describe substantially similar (even logically equivalent) concepts is often different between information systems. Increasing the future value of agriculture, therefore, will depend on creating a process for generating common ontologies of the concept of health, and guiding the development of a common language. This paper illustrates a framework for integrating heterogeneous ontologies into interdisciplinary, foods-for-health knowledge systems. A common system of language that describes health and is shared by all the life-science disciplines will provide immediate benefits in terms of increased health-claim regulatory efficiencies and predictive functions for individualized diets. Ultimately, these vocabularies will guide agriculture to its next goal of producing health-enhancing foods. (c) 2007 Society of Chemical Industry.
引用
收藏
页码:1427 / 1434
页数:8
相关论文
共 28 条
  • [1] ABOUZEID E, 2003, P 36 ANN HAW INT C S, V1, P1874
  • [2] Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets
    Aubry, Marc
    Monnier, Annabelle
    Chicault, Celine
    de Tayrac, Marie
    Galibert, Marie-Dominique
    Burgun, Anita
    Mosser, Jean
    [J]. BMC BIOINFORMATICS, 2006, 7 (1)
  • [3] One-year follow-up of the effects of sildenafil on pulmonary arterial hypertension and veno-occlusive disease
    Barreto, AC
    Franchi, SM
    Castro, CRP
    Lopes, AA
    [J]. BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH, 2005, 38 (02) : 185 - 195
  • [4] The Unified Medical Language System (UMLS): integrating biomedical terminology
    Bodenreider, O
    [J]. NUCLEIC ACIDS RESEARCH, 2004, 32 : D267 - D270
  • [5] Creation and implications of a phenome-genome network
    Butte, AJ
    Kohane, IS
    [J]. NATURE BIOTECHNOLOGY, 2006, 24 (01) : 55 - 62
  • [6] Why the Bush administration and the global sugar industry are determined to demolish the 2004 WHO global strategy on diet, physical activity and health
    Cannon, G
    [J]. PUBLIC HEALTH NUTRITION, 2004, 7 (03) : 369 - 380
  • [7] Clinical classification and terminology: Some history and current observations
    Chute, CG
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2000, 7 (03) : 298 - 303
  • [8] *COLL AM PATH, 2006, SYST NOM MED SNOMED
  • [9] Desiere Frank, 2004, Biotechnol Annu Rev, V10, P51, DOI 10.1016/S1387-2656(04)10003-3
  • [10] Building and using a medical ontology for knowledge management and cooperative work in a health care network
    Dieng-Kuntz, Rose
    Minier, David
    Ruzicka, Marek
    Corby, Frederic
    Corby, Olivier
    Alamarguy, Laurent
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2006, 36 (7-8) : 871 - 892