|
Reference Projects
Joint development project for an intranet applications.
Semantic search for the in-house technology portal of civil engineering company Bilfinger Berger AG.
The international corporation Bilfinger Berger makes a portal available on its intranet
to its employees with specialist information about structural engineering and related areas. This knowledge is stored in distributed databases.
Fraunhofer IPSI is developing an innovative system in a current project with Bilfinger Berger which integrates distributed, multilingual data sources and makes structured access to them possible by means of a semantic search. The knowledge network planned for Bilfinger Berger has the task of indexing the content of the databases of the technology portal and thus making an integrated search of them possible. It will consist of various logical partial networks: partial networks for information types, individuals, keywords, and topics which support semantic search. Computational, linguistic and statistical techniques will be employed by Fraunhofer IPSI for the automated creation of the knowledge network. Periodic
updating of content also takes place automatically.
Engineers on site or employees in the office can access all the data with a single search query and have the results presented to them in a clearly laid out form, structured according to content. For example, even though the information comes from different sources, they can find out with one query, for example, what special expertise an employee has, which projects were carried out, which innovations emerged or were used, which norms and guidelines were applied or which patents exist.

Text technology for the multimedia
Brockhaus Encylopedia
ORION is conducting computational linguistic analysis
of encyclopedia and dictionary entries in the context of the project
"Dictionary and encyclopedia based knowledge acquisition"
for the publishers Bibliographisches Institut & F. A. Brockhaus
AG. This analysis extracts relvant semantic information from the
texts. The aim of the project is to allow normal users to support
their searches in full text databases with natural language and
dialogue-based search technologies, navigation in a 3D visualisation
of knowledge spaces., and computational analysis of text. The project
results will be realised in a prototype application in the "Brockhaus
multimedial" multimedia encyclopedia.
|
|
ORION's cooperation partner in the Brockhaus Multimedial project is the intelligent views GmbH. |

Recommender systems for idea management
Fraunhofer and HLP introduced recommender systems for idea management at CeBIT
2004
The tried and trusted "suggestions box" in
companies has long since grown into idea management such that the
considerable potential of employee suggestions for innovation
and optimising business processes can be fully exploited. Idea management
systems support every stage, from brainstorming right through to
awarding prizes for particularly successful suggestions. Idea
management systems can easily have to handle a hundred thousand
suggestions in large companies - a figure which makes it hard to
separate the wheat from the chaff and to identify suggestions for
improvement which exactly address a specific problem.
In 2003, employee ideas led to substantial cost
reductions of 169 million Euro for Siemens, according to the German
Institute for Business Administration (dib) in Frankfurt. Across Germany the
institute was able to identify around 1.2 thousand million Euro
savings as a result of idea management.
Up to now, however, suggestions for improvement
have largely only been taken on board in the department in which
they were made, whilst other parts of the company have not been
able to benefit. How can the whole enterprise, which may operate
internationally, have full access to the whole pool of ideas?
The solution is a recommender system which the
Orion division of the Fraunhofer Integrated Publication and Information
Systems Institute developed in collabortion with HLP Informationsmanagement
GmbH, a provider of IT services based in Eschborn, Germany.
The system was presented at CeBIT 2004 in Hannover on the Fraunhofer
booth.
The recommender system analyses similarities in
suggestions for improvements and is thus able to spot relevant ideas
and to put them forward as suggestions, even when these ideas originally
appeared in a completely different problem scenario. The system
also independently determines the potential for improvement of indvidual
departments and proactively puts together a list of relevant suggestions
for improvement. A search in the ideas database provides a larger
number of meaningful results than would a conventional full text
search. Furthermore, users of the idea management system are encouraged
to adopt ideas from other departments and other usage contexts.
The recommender system for idea management promotes the spread of
suggestions for innovation and optimisation not just across the
enterprise but also with relevance to individual departments. The
results are clear to see: companies can make substantial savings
with the help of this system. The technology also serves to motivate
employees who put forward ideas, since they can observe with pride
how their idea is put into practice across company locations.
The recommender system runs within a Java
application server and can be seamlessly integrated into the
enterprise's SAP strategy in combination with HLP's SAP-certified
idea management system. Companies which are not SAP users can,
however, still make use of HLP idea management and the new
recommendation system.
|