Abstract
A spatial component for health data can support spatial analysis and visualization in the investigation of health phenomena. Therefore, the utilization of spatial information in a Semantic Web environment will enhance the ability to query and to represent health data. In this paper, a semantic health data query and representation framework is proposed through the formalization of spatial information. We include the geometric representation in RuleML deduction, and apply ontologies and rules for querying and representing health information. Corresponding geospatial built-ins were implemented as an extension to OO jDREW. Case studies were carried out using geospatial-enabled RuleML queries for respiratory disease information. The paper thus demonstrates the use of RuleML for geospatial-semantic querying and representing of health information. © 2009 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Gao, S., Boley, H., Mioc, D., Anton, F., & Yi, X. (2009). Geospatial-enabled ruleML in a study on querying respiratory disease information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5858 LNCS, pp. 272–281). https://doi.org/10.1007/978-3-642-04985-9_25
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
