empolis/tu munich │ Semantic Enterprise: Unleashing Solution Knowledge in the Area of Mechanical Engineering

author: Jasmin Franz, Empolis GmbH
author: Andreas Gaag, TU Munich
published: Dec. 24, 2010,   recorded: September 2008,   views: 116
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Description

ROCESSUS as a particular project of the German national funded high-tech-initiative THESEUS has the objective to create an IT-based corporate system that will allow companies to compare products, solutions and details of business associates, as well as locating the complex and sometimes obscure specialist information needed by employees whose work involves high-density knowledge bases.

The research teams are also aiming to develop a basic semantic platform that will integrate a company’s internal planning of resources with management of the digital content of agile business processes. One specific scenario taken from the domain of mechanical engineering will demonstrate the requirements of an ontology based intra- and intererenterprise communication for solution and application retrieval in the Engineering domain. A prototypical demonstrator will illustrate the solution approach.

empolis is a software company specialised in knowledge management and information access technologies. Knowledge based technologies form the basis for empolis’ products. Starting from core Case-Based Reasoning technology, empolis has evolved its tools towards a semantic processing technology. It is a platform for the implementation of hybrid intelligent applications that can make use of a variety of AI technologies, including e.g., the CBR kernel, a rule engine, machine learning and user modelling techniques, to name a few. Today we offer a complete framework for setting up intelligent content management, knowledge management, retrieval and assistance systems. empolis is an arvato AG subsidiary, an international media service company and part of Bertelsmann AG. empolis employs 200 people in Germany and international divisions.

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Download slides icon Download slides: estc08_franz_etm_01.pdf (2.9 MB)

Download slides icon Download slides: estc08_franz_etm_01.ppt (4.4 MB)


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