Our Highlights

Based on knowledge technologies Know-Center develops intelligent apps, applications and systems that can be easily integrated in IT infrastructures or products.

Projects

Diana

national project 2011

  The goal of this project is the automatized interception and analysis of global information and communication channels for early detection of hazard indicators, which can then be provided to experts for further investigation. One of the core tasks was the development of an adaptive web crawler capable of extracting news articles and…

Organic.Lingua

EU project 2011

Organic.Lingua is an international ICT PSP project with the aim to build an automated multi?lingual service that facilitates the usage, exploitation and extension of digital educational content related to Organic Agriculture and Agroecology. The project builds upon the Organic.Edunet Web portal that was developed in the context of the eContentplus…

MIRROR – Reflective Learning at Work

EU project 2010

MIRROR will enable employees to learn lessons from their own and others experiences. Dr. Stefanie Lindstaedt from the Know-Center is the scientific leader of this innovative project. MIRROR is an EU funded project in the Technology-Enhanced Learning Unit. Its duration is four years (July 2010 – June 2014) with a…

Dynamic Ontology Matching

COMET project 2010

The goal of the MIMOS – Know-Center cooperation project is the development of semi-automatic methods for ontology mediation. In ontology mediation appropriate concepts from different ontologies are matched with the goal of enabling interoperability between these ontolgies. A developed client-server based solution, the Semantic Mediation Tool (SMT), serves as a…

User Context Detection and Attention Metadata Extraction

COMET project 2009

The term “user context” is used to describe a user’s computational environment (e.g. current task, recently opened documents, work environment). User contexts are formally described with ‘user context models’ and stored in ‘user profiles’. User context may be utilized in context based retrieval, context-aware applications or location-based services. Results from…

Dynamic Ontology Matching

COMET project 2009

The goal of the MIMOS – Know-Center cooperation project is the development of semi-automatic methods for ontology mediation. In ontology mediation appropriate concepts from different ontologies are matched with the goal of enabling interoperability between these ontolgies. A client-server based solution, the Semantic Mediation Tool (SMT), should serve as a…

DYONIPOS

national project 2007

The goal of the DYONIPOS project is to optimize and ease the modeling of business processes for organizations by utilizing semantic technologies. In the knowledge management department of the Know-Center a key research area of DYONIPOS is to analyze low-level usage data for identifying the actual task of a knowledge…

WebAtlas- Web based User Interface for Atlas Access (Implementation Phase)

Kplus project 2005

Common web-based geographical information systems mostly serve in tasks like route planning or locating postal adresses. Accordingly, such tools operate on very specific datasets which are often incomplete or inaccurate. The WebAtlas project targets prototypical development of an interactive, general, geographically correct world map. Information layers like satellite views, political…

Know-Center Intangible Assets Assessment

Kplus project 2004

The development and implementation of our internal intangible assets instrument has to goals. On the one hand it serves for collecting experiences, on the other hand the instrument serves for the internal communication, external reporting and strategic planning. Since the instrument has been developed in late 2001, it is implemented.…

DocClass - Hierarchical Document Classification

Kplus project 2001

Due to the permantently growing amount of textual data, automatic methods for organizing the data are required. Automatic text classification is one of these methods. Based on the textual content of the document, it automatically assigns documents to a predefined set of classes. Normally, the set of classes is hierarchically…

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