Semantic Representation for Health Data with Support to Spatial and Temporal Information

Health data is one of information that has a close relationship
with the spatial and temporal aspects. Spatial and temporal
information has now become a more important component in
health data analysis. This is based on the fact that there are an
increasing aspect of geographical position and time constraints in
public health data. Therefore, health data analysis can produce
more meaningful information if the spatial and temporal
information are well represented. The present model of spatial
temporal representation generally offers model that satisfies only
one form of representation, either spatial or temporal. This paper
proposes a model of health data representation that supports the
aspect of spatial temporal information using semantic web
approach. The spatial aspect is represented using RCC8 topology
relation and compass direction classification. While the temporal
aspect is represented using Allen's temporal relation. Data
representation is implemented in the form of ontology documents.
The resulting ontology has DL expressivity of SHOIF(D), and
has an average inference ratio of 15%.