Titlebook: Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives; Madjid Fathi Book 2013 Springer-Verlag Berlin Heidelberg 2

lesion

DRILL

Towards a Smooth E-Justice: Semantic Models and Machine Learningby e-justice plans, is encouraging the introduction of novel litigation support systems. In this paper we present two innovative systems, JUMAS and eJRM, which take up the challenge of exploiting semantics and machine learning techniques for managing in-court and out-of-court proceedings respectivel

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Weaving Personal Knowledge Spaces into Office Applications and plug-ins using the knowledge worker’s Personal Information Model (PIMO) – a formal representation of his mental model for knowledge work – in everyday applications. We explain how the infrastructure enables the availability of the PIMO as one vocabulary throughout different applications as well

innovation

內(nèi)行

Incremental and Interaction-Based Knowledge Acquisition for Medical Images in THESEUSge that ought to be used in the software application easily as it is hidden in the heads of medical experts. In this article, we provide an example of how an incremental knowledge acquisition process for radiology images can be implemented to solve this problem. Thereby, we integrated Semantic Web t

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Complex Decision Making to Support Urban Search and Rescue Operationsue people during the search of entrapped people or dead bodies in collapsed structures. One part of the project is the establishment of unattended, wireless monitoring devices, that are able to raise alarms in case of detected signs of life, danger, or death. This article gives a short overview of t

拋媚眼

Deceit

TCP Traffic Classification Using Relaxed Constraints Support Vector Machinesn into consideration by both network operators and researchers. It allows network operators to predict future traffics and detect anomalous behavior and also allows researchers to create traffic models. In this paper, we use a new architecture of support vector machines, namely relaxed constraints s

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Next Generation Product Lifecycle Management (PLM)ta, systems, and the involved actors throughout the entire lifecycle of a product. Based on comprehensive literature and own surveys, as well as on the experience gathered in current research projects, the paper in hand summarizes the main development trends in PLM. Due to the shift of most enterpri

JADED

The Role of Semantic Technologies in Future PLMfocusing on Product Lifecycle Management (PLM). Today’s major challenges are the support of globally distributed and multi-disciplinary teams, complexity, and enterprise knowledge management. Essential building block for new approaches to cope with these challenges is the use of semantic technologie