Modularising ontology and designing inference patterns to personalise health condition assessment: the case of obesity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Aleksandra Sojic, Walter Terkaj, Giorgia Contini, Marco Sacco

ABSTRACT

BACKGROUND: The public health initiatives for obesity prevention are increasingly exploiting the advantages of smart technologies that can register various kinds of data related to physical, physiological, and behavioural conditions. Since individual features and habits vary among people, the design of appropriate intervention strategies for motivating changes in behavioural patterns towards a healthy lifestyle requires the interpretation and integration of collected information, while considering individual profiles in a personalised manner. The ontology-based modelling is recognised as a promising approach in facing the interoperability and integration of heterogeneous information related to characterisation of personal profiles. RESULTS: The presented ontology captures individual profiles across several obesity-related knowledge-domains structured into dedicated modules in order to support inference about health condition, physical features, behavioural habits associated with a person, and relevant changes over time. The modularisation strategy is designed to facilitate ontology development, maintenance, and reuse. The domain-specific modules formalised in the Web Ontology Language (OWL) integrate the domain-specific sets of rules formalised in the Semantic Web Rule Language (SWRL). The inference rules follow a modelling pattern designed to support personalised assessment of health condition as age- and gender-specific. The test cases exemplify a personalised assessment of the obesity-related health conditions for the population of teenagers. CONCLUSION: The paper addresses several issues concerning the modelling of normative concepts related to obesity and depicts how the public health concern impacts classification of teenagers according to their phenotypes. The modelling choices regarding the ontology-structure are explained in the context of the modelling goal to integrate multiple knowledge-domains and support reasoning about the individual changes over time. The presented modularisation pattern enhances reusability of the domain-specific modules across various health care domains. More... »

PAGES

12

References to SciGraph publications

  • 2007. Ontology Modularization for Knowledge Selection: Experiments and Evaluations in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 2009. Modular Ontologies, Concepts, Theories and Techniques for Knowledge Modularization in NONE
  • 2009. Criteria and Evaluation for Ontology Modularization Techniques in MODULAR ONTOLOGIES
  • 2009. An Overview of Modularity in MODULAR ONTOLOGIES
  • 2009. Formal Properties of Modularisation in MODULAR ONTOLOGIES
  • 2013. Protégé Ontology Editor in ENCYCLOPEDIA OF SYSTEMS BIOLOGY
  • 2012-09. Open biomedical pluralism: formalising knowledge about breast cancer phenotypes in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2014. Integrated Architecture for Next-Generation m-Health Services (Education, Monitoring and Prevention) in Teenagers in DIGITAL HUMAN MODELING. APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT
  • 2014. Pegaso: A Serious Game to Prevent Obesity in DIGITAL HUMAN MODELING. APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT
  • 2014. Active Prevention by Motivating and Engaging Teenagers in Adopting Healthier Lifestyles: in DIGITAL HUMAN MODELING. APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT
  • 2012-12. An ontology-based exploration of the concepts and relationships in the activities and participation component of the international classification of functioning, disability and health in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2009-05-22. Ontology Design Patterns in HANDBOOK ON ONTOLOGIES
  • 2014. PEGASO: Towards a Life Companion in DIGITAL HUMAN MODELING. APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT
  • 2010-08-12. General Formal Ontology (GFO): A Foundational Ontology for Conceptual Modelling in THEORY AND APPLICATIONS OF ONTOLOGY: COMPUTER APPLICATIONS
  • 2009-05-22. An Overview of OntoClean in HANDBOOK ON ONTOLOGIES
  • 2009-05-22. Ontology Engineering Methodology in HANDBOOK ON ONTOLOGIES
  • 2011. COPE: Childhood Obesity Prevention [Knowledge] Enterprise in ARTIFICIAL INTELLIGENCE IN MEDICINE
  • 2009-05-22. Ontologies and Rules in HANDBOOK ON ONTOLOGIES
  • 2004-07. Ontology Evolution: Not the Same as Schema Evolution in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2009-05-22. What Is an Ontology? in HANDBOOK ON ONTOLOGIES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13326-016-0049-1

    DOI

    http://dx.doi.org/10.1186/s13326-016-0049-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023018980

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29764473


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