Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

SOWL: spatio-temporal representation, reasoning and querying over the semantic web

Petrakis Evripidis, Sotiris Batsakis

Full record


URI: http://purl.tuc.gr/dl/dias/723C2148-463B-4017-B809-84493468473E
Year 2010
Type of Item Conference Paper Abstract
License
Details
Bibliographic Citation Sotiris Batsakis, Euripides G.M. Petrakis, "SOWL:Spatio-temporal Representation, Reasoning and Querying over the Semantic Web", in 6th International Conference on Semantic Systems (I-SEMANTICS' 2010), 2010. doi: 10.1145/1839707.1839726 https://doi.org/10.1145/1839707.1839726
Appears in Collections

Summary

Representing dynamic information in the form of ontologies, as well as querying and reasoning over static and dynamic ontologies are the areas of interest in this work. Building upon well established standards of the semantic Web and the 4D-fluents approach for representing the evolution of temporal information in ontologies, SOWL illustrates how spatial and spatio-temporal information and evolution in space and time can be efficiently represented in OWL. It also demonstrates how qualitative temporal and spatial relations that are common in natural language expressions (i.e., relations between time intervals like "before", "after", etc.) are represented in the ontology. Existing approaches allow for representations of only static, spatial or temporal information, but do not support combinations on the nature of information or representation of qualitative relations. Part of the proposed representation model is the SOWL (high-level) query language, which does not require users to be familiar with peculiarities of the underlying ontology representation (which can be complex) and handles ontologies similar to relational databases. A distinct feature of SOWL is the incorporation spatio-temporal reasoning in SOWL, which is capable of inferring spatio-temporal information from representations in the underlying ontology model.

Services

Statistics