6533b871fe1ef96bd12d1815

RESEARCH PRODUCT

A Semantic Model to Query Spatial–Temporal Data

Helbert ArenasChristophe CruzBenjamin Harbelot

subject

Information retrievalRelational databaseComputer sciencebusiness.industryInferenceSemantic data modelSemanticscomputer.software_genreTemporal databaseTask (project management)Knowledge baseData miningbusinessSemantic Webcomputer

description

There is a growing need for the study of spatial–temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research, we introduce a new approach that uses the concept of a “continuum” together with ontologies and semantic Web technologies. The continuum allows us to define parent–child relationships between representations of objects. It also allows us to compare the evolution of two different objects and establish the relationships between them along time. Our approach is based on the four-dimensional fluent, which is extended to obtain spatial–temporal qualitative information from the analysis of objects and their relationships. The results of our analysis are later added to our knowledge base, thus enhancing it. Our preliminary results are promising and we plan to further develop the model in the near future.

https://doi.org/10.1007/978-3-642-31833-7_5