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What is Ontology Design Pattern

Emerging Perspectives in Big Data Warehousing
Is a modelling solution to solve recurrent ontology development problems that can be solved by means of a set of rules and shared guidelines that are packaged in the form of pattern.
Published in Chapter:
A Trajectory Ontology Design Pattern for Semantic Trajectory Data Warehouses: Behavior Analysis and Animal Tracking Case Studies
Marwa Manaa (University of Tunis, Tunisia), Thouraya Sakouhi (University of Tunis, Tunisia), and Jalel Akaichi (University of Bisha, Saudi Arabia)
Copyright: © 2019 |Pages: 22
DOI: 10.4018/978-1-5225-5516-2.ch004
Abstract
Mobility data became an important paradigm for computing performed in various areas. Mobility data is considered as a core revealing the trace of mobile objects displacements. While each area presents a different optic of trajectory, they aim to support mobility data with domain knowledge. Semantic annotations may offer a common model for trajectories. Ontology design patterns seem to be promising solutions to define such trajectory related pattern. They appear more suitable for the annotation of multiperspective data than the only use of ontologies. The trajectory ontology design pattern will be used as a semantic layer for trajectory data warehouses for the sake of analyzing instantaneous behaviors conducted by mobile entities. In this chapter, the authors propose a semantic approach for the semantic modeling of trajectory and trajectory data warehouses based on a trajectory ontology design pattern. They validate the proposal through real case studies dealing with behavior analysis and animal tracking case studies.
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