Towards the Integration of Trajectory Information Sources for Semantic Conflicts Detection Purpose

Abstract

The advance of remote sensors and positioning technologies is leading to the eruption of disparate mobility data. For a long while, location sensing devices became released. As a result, different structures of mobility data sources may reveal the details of instantaneous behaviors performed by mobile entities. Collected mobility information forms the need of behavior modeling to understanding behaviors from cognitive and analytics perspectives. Each designer may use a different formalism and representation by using either “conceptual modeling” or “ontology”. The phenomenon of adopting ontologies by organizations creates a new type of data called semantic data handled by semantic databases. The diversity of these formalisms highly increases the structural and semantic heterogeneities and consequently increases the complexity of integration tasks. In this chapter, authors propose a semantic and scalable approach that unifies formalisms and representations by the means of ontologies. This approach is supported by a case study.