This chapter therefore explores the requirementsĪnd potential approaches to the design and building of such systems.Ī thematic map displays the spatial patterns of one or more data themes for a specified geographic area. Machine understandable way, and the system needs to have the knowledge about
To discover and trigger such a service, it needs to be formalised and described in a Maximises their interoperability and therefore reusability. Web services have been used to encapsulate generalisation processes in a way that As the system gets more complex, it becomes important to be able to reuse components which already exist. This chapter discusses several aspects of the problem of building such systems. To channel the growing complexity of the processes required, better process models had to be developed. In the early days this would take the form of a static sequence of generalisation actions, but currently the focus is on modelling much more complex processes, capable of generalising geographic data into various maps according to specific user requirements.
Process modelling has always been an important part of research in generalisation. We demonstrate the applicability of the proposed system with two practical examples. In this paper, we aim to reduce the computational effort and specification complexity of personalized multi-modal routing by use of a preceding heuristic, which, based on information stored in a user profile, derives a set of feasible candidate travel options, which can then be evaluated by a traditional routing algorithm. Partially, this is due to the fact that the inclusion of various modes of transportation and user requirements quickly leads to complex, semantically enriched graph structures, which to a certain degree impede downstream procedures such as dynamic graph updates or route queries. Seldom included are other travel options such as carpooling, carsharing, or bikesharing, as well as the possibility to compute personalized results tailored to the specific needs and preferences of the individual user. Current popular multi-modal routing systems often do not move beyond combining regularly scheduled public transportation with walking, cycling or car driving.
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