Semantic Rules for Context-Aware Geographical Information Retrieval

Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, semantics-based GIR is especially challenging because context information – such as collected from sensors – is often provided through numeric values, which need to be mapped to ontological representations based on nominal symbols. The Web Ontology Language (OWL) lacks mathematical processing capabilities that require free variables, so that even basic comparisons and distance calculations are not possible. Therefore, the context information cannot be interpreted with respect to the task and the current user’s preferences. In this paper, we introduce an approach based on semantic rules that adds these processing capabilities to OWL ontologies. The task of recommending personalized surf spots based on user location and preferences serves as a case study to evaluate the capabilities of semantic rules for conte...

• Type: Conference
• Year: 2009
• Where: EUROSSC
• Authors: Carsten Keßler, Martin Raubal, Christoph Wosniok
• Keywords: Context Information, EUROSSC 2009, Geographical Information Retrieval, Information Management, Semantic Rules