A RuleML Study on Integrating Geographical and Health Information

Sheng Gao, Darka Mioc, Harold Boley, François Anton, Xiaolun Yi

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    To facilitate health surveillance, flexible ways to represent, integrate, and deduce health information become increasingly important. In this paper, an ontology is used to support the semantic definition of spatial, temporal and thematic factors of health information. The ontology is realized as an interchangeable RuleML knowledge base, consisting of facts and rules. Rules are also used for integrating geographical and health information. The implemented eHealthGeo system uses the OO jDREW reasoning engine to deduce implicit information such as spatial relationships. The system combines this with spatial operations and supports health information roll-up and visualization. The eHealthGeo study demonstrates a RuleML approach to supporting semantic health information integration and management.
    Original languageEnglish
    Title of host publicationRule Representation, Interchange and Reasoning on the Web : International Symposium, RuleML 2008, Orlando, FL, USA, October 30-31, 2008. Proceedings
    EditorsNick Bassiliades, Guido Governatori, Adrian Paschke
    PublisherSpringer Science+Business Media
    Publication date2008
    ISBN (Print)978-3-540-88807-9
    Publication statusPublished - 2008
    Event2008 International RuleML Symposium on Rule Interchange and Applications - Orlando, United States
    Duration: 30 Oct 200831 Oct 2008
    Conference number: 2008


    Conference2008 International RuleML Symposium on Rule Interchange and Applications
    Country/TerritoryUnited States
    SeriesLecture Notes in Computer Science


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