Nikos Pelekis
Yannis Theodoridis
Abstract
Huge volumes of location information are available nowadays due to the rapid growth of positioning devices (GPS-enabled smartphones and tablets, on-board navigation systems in vehicles, vessels and planes, smart chips for animals, etc.). In the near future, it is unavoidable that this explosion will contribute in what is called the Big Data era, raising high challenges for the data management research community. Instead of trying to manage bigger and bigger volumes of raw data, future Moving Object Database (MOD) systems need to extract and manage (the minimum necessary) semantics of movement. Such semantics can foster next-generation location-based services (LBS) and locationbased social networking (LBSN) applications, building more efficient and effective applications, while in parallel opening new research directions in the field of transportation, urban planning etc. In this article, we first present a novel model that enables the unified management of (raw GPS) trajectories and their semantic counterpart, and then we discuss challenges and solutions on the multidimensional analysis of such real-world semantic-aware mobility databases and data warehouses. Our recent experience from an interdisciplinary EU project we've been participating makes us confident that the envisioned approach will inspire the next wave of research in mobility data management and exploration field.
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Index Terms
- On the Management and Analysis of Our LifeSteps
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