Jan-Gregor Fischer

Ontology-Based Pervasive Spatial Knowledge for Car Driver Assistance

Deducing spatial knowledge for car driver assistance is of special importance for upcoming advanced driver assistance systems. Such systems can not only rely on car mounted sensors, but also require environmental tracking. We illustrate our approach of a distributed ad-hoc infrastructure that collects and disseminates tracking data of environmental objects and thus allows for vehicle- and ontology-based reasoning. We discuss, where such a system can facilitate in driver assistance systems, that require spatial knowledge

Semantic data integration and monitoring in the railway domain

Information integration is a key for further growth of efficiency in management decisions for the railway domain. In the context of the EU project InteGRail (funded in the 6th Framework Programme) an integration approach leveraged by ontologies known from the Semantic Web and logic-based reasoning mechanisms has been successfully demonstrated. To this effect existing heterogeneous monitoring data acquired across the European railways (in the context of rolling stock, infrastructure, operations and traffic management) is logically integrated according to a formal information model. Based on distributed reasoning mechanism decentralized data and inferred knowledge does not have to be aggregated in a central repository but can be transparently accessed by applications independently from where it is acquire. We explain how the proposed techniques facilitate integration, analysis and interpretation of distributed observation data in the railway domain. Finally the implementation of the presented approach is presented by a demonstration scenario, which integrates existing real-world data for symptom identification and fault detection.

Collaborative Planning Processes

In this chapter innovative flexible processes for inter-enterprise collaborative planning are presented. The processes support the industry’s requirement for both effective and efficient collaboration when planning capacities throughout BTO supply networks. This overcomes current process-related limitations. Collaborative planning processes span the whole integrated supply network. They are developed to support dynamic capacity allocation based on plant-specific constraints and to adjust plants’ profitable ranges to the current network context and individual capacity situation. Planning capacities in a collaborative way aims to optimise capacity utilisation corresponding to a current market situation. This chapter further presents computer-supported negotiations as a collaborative approach for decentralised capacity planning. Autonomous software agents serve as mediators between partners and perform negotiations. The concept of agents and their application as negotiators to facilitate the 5-day car vision are detailed in this chapter.