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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>FoodON: A Global Farm-to-Fork Food Ontology</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Emma Griffiths</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Fiona Brinkman</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Pier Buttigieg</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Damion Dooley</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Will Hsiao</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Alfred-Wegener-Institut, Helmholtz-Zentrum für Polarund Meeresforschung Bremerhaven</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>BC Public Health Laboratory Vancouver</institution>
          ,
          <country country="CA">Canada</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Department of Computer Science King Abdullah University Thuwal</institution>
          ,
          <country country="SA">Saudi Arabia</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Department of Molecular Biology and Biochemistry Simon Fraser University Greater Vancouver</institution>
          ,
          <country country="CA">Canada</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2008</year>
      </pub-date>
      <abstract>
        <p>- Several resources and standards for indexing food descriptors currently exist, but their content and interrelations are not semantically and logically coherent. Simultaneously, the need to represent knowledge about food is central to many fields including biomedicine and sustainable development. FoodON is a new ontology built to interoperate with the OBO Library and to represent entities which bear a “food role”. It encompasses materials in natural ecosystems and food webs as well as humancentric categorization and handling of food. The latter will be the initial focus of the ontology, and we aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes. The scope of FoodON is ambitious and will require input from multiple domains. FoodON will import or map to material in existing ontologies and standards and will create content to cover gaps in the representation of food-related products and processes. As a robust food ontology can only be created by consensus and wide adoption, we are currently forming an international consortium to build partnerships, solicit domain expertise, and gather use cases to guide the ontology's development. The products of this work are being applied to research and clinical datasets such as those associated with the Canadian Healthy Infant Longitudinal Development (CHILD) study which examines the causal factors of asthma and allergy development in children, and the Integrated Rapid Infectious Disease Analysis (IRIDA) platform for genomic epidemiology and foodborne outbreak investigation.</p>
      </abstract>
      <kwd-group>
        <kwd>food ontology</kwd>
        <kwd>food safety</kwd>
        <kwd>food security</kwd>
        <kwd>food allergy</kwd>
        <kwd>nutrition</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>I. INTRODUCTION</title>
      <p>All living things require food to survive. While some
organisms can utilize sunlight and chemicals to synthesize their
own nutrients, all animals require exogenous food sources. Food
is such a critical resource for life that a substantial proportion of
time and effort in an animal’s life is spent procuring it. Humans
have built intricate systems for the production, distribution,
acquisition, regulation, treatment, consumption and disposal of
food. The relationships between humans and food are complex,
and have real consequences for policy, security, education and
science. The ways in which we communicate about food can</p>
      <p>II. DEVELOPMENT OF THE FOODON FOOD ONTOLOGY
A. Potential Use Cases for a Global Food Ontology
Initial interviews with domain experts (public health agencies,
food allergy strategy committee members, agriculture and
agrifood specialists, US Food and Drug Administration officials
etc) have suggested a number of use cases for which a global
food ontology will have immediate and considerable impact.
These use cases include food safety (source attribution during
outbreaks, contamination traceback, risk assessment), food
security (production, storage, processing, distribution,
consumption), food allergy, chemical exposure and nutritional
assessment, food regulation, trade (import/export/economics),
cultural practices, cooking and culinary use, food webs/food
cycles and animal husbandry. An example of how a food
ontology would have immediate impact is in resolving
discrepancies arising from food synonyms (e.g. cold cuts vs
deli meats). Such discrepancies can obscure query results and
have important consequences in real-time investigations. We
will use these use cases to guide development and test the
competencies of FoodON as it develops.</p>
      <p>
        B. Harmonization of Existing Food Vocabularies
Several resources and standards for indexing food descriptors
currently exist. The Codex Alimentarius is a collection of
internationally recognized standards, codes of practice,
guidelines, and other recommendations relating to foods, food
production, and food safety commissioned by the United
Nations Food and Agriculture Organization
(http://www.fao.org/fao-who-codexalimentarius/codexhome/en/). LanguaL, or the Langua aLimentaria [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], was first
developed in the late seventies by USFDA’s Centre for Food
Safety and Applied Nutrition, and is now hosted by a
consultancy, Danish Food Informatics, on behalf of various
European partners. LanguaL provides 14 main facets, or
hierarchies of descriptive terms that have been used to describe
around 35,000 foods. It has been internationalized with
equivalent terms in Czech, Danish, English, French, German,
Italian, Portuguese, Spanish and Hungarian. Europe is also
home to FoodEx [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], a food dictionary constructed by the
European Food Safety Authority (EFSA). The latest version
(Food Ex2) provides a comprehensive classification of terms
and is designed to facilitate food exposure assessment. Other
related resources include the USDA National Nutrient Database
for Standard Reference [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], and the Health Canada
Compendium of Analytical Methods, designed to foster
compliance of the food industry with standards and guidelines
relative to microbiological and extraneous material in foods [4].
Ontological representation of food products is somewhat
scattered and not comparably comprehensive. For example,
following requests from its users due to the lack of an
independent food ontology, the Environment Ontology
(ENVO) contained representations of a range of food products
[5]. The experimental FoodO ontology was designed to
represent the FooDB database describing food items and
chemical/nutritional composition
(http://aberowl.net/ontology/FOODO). While these resources are certainly
useful, they have only been developed for specific uses and
often include different facets and organizational principles.
These features limit interoperability and reduce the range of
application an integrative and semantically coherent food
ontology would possess.
      </p>
      <p>C. FoodON Structure and Content
We are developing FoodON following the principles of the
OBO Foundry and Library [6]. Its upper levels will be
concerned with food composition, pre-collection (farming or
animal husbandry) environment, collection features (season,
age of plant or animal, harvesting technology), storage and
distribution features as they pertain to food security, culinary
preparation and packaging, food safety factors, and
consumption patterns. Food-relevant terms are being imported
from existing ontologies including NCBI Taxonomy for source
animal / plant / fungi / bacterial organism, Uberon [7] for food
source part and type descriptors, ENVO for food environmental
context, and CHEBI [8] for chemical constituents and
contaminants. LanguaL, a traditional database, will be used for
food source common names, preservation methods, and a few
other facets. The ontology is open and available on GitHub
(https://github.com/FoodOntology) such that editors, each with
their own allotment of term identifiers, can effectively
contribute in parallel and the community can submit term
requests and feedback.</p>
    </sec>
    <sec id="sec-2">
      <title>III. FORMATION OF THE FOODON CONSORTIUM</title>
      <p>The creation of such a Food Ontology is a large undertaking
and is much more tractable through an open-member consortium
framework. As harmonization of the food ontology can only be
achieved by consensus and wide adoption, we are currently
forming an international consortium to build partnerships and
solicit domain expertise. An open-membership consortium will
be key to developing a sustainable and extensible FoodON.
Priorities of the consortium include term contributions,
integration of regionally-specific food vocabulary and strategies
for international uptake. Subsets of FoodON will be utilized by
the Integrated Rapid Infectious Disease Analysis (IRIDA)
platform which supports real-time foodborne outbreak
investigation, as part of the Genomic Epidemiology Application
Ontology (GenEpiO, www.irida.ca). FoodON vocabulary will
also be useful for standardizing food descriptions within the
Canadian Healthy Infant Longitudinal Development (CHILD)
study, which examines the causal factors of asthma and allergy
development in children. Interested participants should contact
the authors for further details.
[5] Buttigieg PL, Morrison N, Smith B, Mungall CJ, Lewis SE
&amp; the ENVO Consortium (2013). The environment ontology:
contextualising biological and biomedical entities. J Biomed
Semantics. 4(1):43.</p>
    </sec>
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