FAQIH Framework for Agent-Based Query-Enabled Integrated Information for Health and Nutrition

As the processes of urbanization and globalization continue to gain momentum, issues relating to interdependencies among water, food, nutrition and public health policy have increased in complexity and scope. Thus, it is no longer sufficient for subject-matter experts to develop models for each of t...

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Bibliographic Details
Published in:Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Vol. 3; pp. 550 - 553
Main Authors: Tijerino, Yuri A., El-Bassuny, Tarek Helmy, Bradshaw, Jeffrey M.
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 09.12.2008
IEEE
Series:ACM Conferences
Subjects:
Applied computing > Life and medical sciences > Consumer health
Applied computing > Life and medical sciences > Health informatics
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
Data mining
Home appliances
Information retrieval
Intelligent agent
Medical services
Mobile handsets
Nutrition
Ontologies
Ontology
OWL
Public healthcare
Semantic Web
Software agents
Software and its engineering > Software notations and tools > General programming languages > Language features > Frameworks
Semantic Web
Nutrition
Ontology
ISBN:9780769534961, 0769534961
Online Access:Get full text
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Summary:As the processes of urbanization and globalization continue to gain momentum, issues relating to interdependencies among water, food, nutrition and public health policy have increased in complexity and scope. Thus, it is no longer sufficient for subject-matter experts to develop models for each of their underlying domains of expertise (e.g., nutrition, healthcare, and land and water management) independently. Both expert stakeholders and ordinary citizens would benefit from reliable and continually up-to-date models on which to base their decisions. In this preliminary overview paper, the authors propose to develop a Framework for Agent-based Query-Enabled Integrated Information for Health and Nutrition (FAQIH) to support healthcare professionals, policy makers, and citizens to obtain the knowledge they seek.
ISBN:9780769534961
0769534961
DOI:10.1109/WIIAT.2008.405