Advances in Spatial and Temporal Databases 8th International Symposi
This book constitutes the refereed proceedings of the 8th International Symposium on Spatial and Temporal Databases, SSTD 2003, held at Santorini Island, Greece in July 2003. The 28 revised full papers presented together with a keynote paper were carefull
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Abstract. Research contributions on data modeling, data structures, query processing, and indexing for mobile services may have an impact in the longer term, but each contribution typically offers an isolated solution to one small part of the practical problem of delivering mobile services in the real world. In contrast, this paper describes holistic concepts and techniques for mobile data modeling that are readily applicable in practice. Focus is on services to be delivered to mobile users, such as route guidance, point-of-interest search, road pricing, parking payment, traffic monitoring, etc. While geo-referencing of content is important, it is even more important to relate content to the transportation infrastructure. In addition, several sophisticated, integrated representations of the infrastructure are needed.
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Introduction
The integration of location-based content and the reuse of content across multiple services will be central to the cost-effective delivery of competitive mobile services as well as to the rapid development of new mobile services. Appropriate data modeling is therefore essential to the delivery of quality mobile services. Knowledge of the user’s location is central to many mobile services. Knowledge of the transportation infrastructure in which the user is moving is often also essential to a mobile service. A general-purpose foundation for the delivery of location-based services requires that multiple, integrated representations of the infrastructure are available. In addition, content (also termed business data) must be geo-referenced and must be positioned with respect to the infrastructure. The paper offers the reader insight into the real-world challenges to data modeling for mobile services, and it describes an approach to data modeling that meets the challenges. The approach is being used by the Danish road directorate and Danish company Euman [2]. It is our hope that this paper will shed light on the application domain of mobile services, will demonstrate some of the complexity of the inherent data management problem, and will inform future research. Much related research in the area of computer science makes simple assumptions about the problem setting. The transportation infrastructure is often not taken into account. As a result, the notions of proximity used are inappropriate T. Hadzilacos et al. (Eds.): SSTD 2003, LNCS 2750, pp. 1–9, 2003. c Springer-Verlag Berlin Heidelberg 2003
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Christian S. Jensen et al.
to many services. Further, only a limited range of services can be supported. Other research reduces a transportation infrastructure to a graph, but does not consider other aspects of the infrastructure. The present paper takes steps towards integrating these contributions, thus taking first steps towards making the advances from the scientific domain relevant in practice. In the industrial domain, linear referencing [4, 6] has been used quite widely for the capture of content located along linear elements (e.g., routes) in transportation infrastructures. In addition, a g
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