Use of Geospatial Analyses for Semantic Reasoning

Abstract

Abstract. This work focuses on the integration of the spatial analyses for semantic reasoning in order to compute new axioms of an existing OWL ontology. To make it concrete, we have defined Spatial Built-ins, an extension of existing Built-ins of the SWRL rule language. It permits to run deductive rules with the help of a translation rule engine. Thus, the Spatial SWRL rules are translated to standard SWRL rules. Once the spatial functions of the Spatial SWRL rules are computed with the help of a spatial database system, the resulting translated rules are computed with a reasoning engine such as Racer, Jess or Pellet.

Automatic geospatial data conflation using semantic web technologies

“…Keßler, Raubal, and Wosniok (2009) take the research by Klien (2007) They demonstrate how mathematical calculations are done using default SWRL Math Built-ins and also show how the same mechanism can be used to build custom built-ins to retrieve dynamic sensor information for the user-model rules instead of static hard-coded values for the ontology. Simple mathematical calculations, such as distance calculations, can be achieved using SWRL default Built-Ins (Keßler et al, 2009) as well as unique spatial relationship functions and spatial processing functions for geospatial data analysis can also be added through custom spatial Built-Ins for SWRL (Karmacharya, Cruz, Boochs, & Marzani, 2010). Therefore, spatial analysis can be integrated with domain knowledge (e.g.…”

Towards a semantic framework for exploiting heterogeneous environmental data

“…Unfortunately, these relations cannot be inferred with simple rules. In several studies (Karmacharya et al, 2010;Vandecasteele and Napoli, 2012), the authors have introduced SWRL built-ins to represent and infer spatial relationships between spatio-temporal objects but there are still limitations with regard mainly both to the system performance and reuse capability.…”

A Semantic Mediator for Handling Heterogeneity of Spatio-Temporal Environment Data

“…Unfortunately, these relations cannot be inferred with simple SWRL rules. Several studies [15,21] have introduced the SWRL built-ins for spatial relationships representation and processing, but there are still limitations with regard mainly to the system's performance and reuse capability. Therefore, in our project, the reasoning on complex spatial information is realized by a geospatial triplestore.…”