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

LexisNexisX

COMET project 2013

  TEST The goal of this project was the implementation and application of unsupervised machine learning techniques, particularly clustering, in the juridical domain. Using features like word groups and law references, documents were to be grouped automatically into statistically computed groups to provide guidance in the editorial process.   For…

Unycom semantic search technologies

COMET project 2013

  The goal of this project was the development of a search solution for documents in the area of patent management. The documents exist in various formats like Microsoft Office, Adobe PDF or Mails on net drives. These documents’ full text has been indexed with further meta data like date…

Visual Analysis of Project Portfolios

COMET project 2012

The project partner Onepoint provides its customers with a web-based tool for project management. The goal of this project is to design and implement a web-based visualisation component for comparative analysis of project information. The information about a project is available in detailed and aggregated forms containing, for example, planed…

Web-Based Visualisation of Project Knowledge Spaces

COMET project 2012

The project partner OnePoint provides a Web-based tool for management of project portfolios. Within this project a Web-based visual component for representing summarized project information was developed, with the goal of supporting decision making in management of project portfolios.  Each project is represented by a complex visual symbol reflecting the…

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…

DIVINE

national project 2011

Content providers and analysts increasingly rely on combining multiple data sources to build comprehensive, up-to-date, interlinked information spaces. Techniques for integrating data sources and tracking their evolution are crucial for achieving these goals. DIVINE (Dynamic Integration and Visualization of Information from Multiple Evidence Sources) focuses on developing such techniques, where…

Semantic Network Analysis in Large Heterogeneous Repositories

COMET project 2010

The goal of this project, which is performed in cooperation with m2n, is to enable the retrieval, analysis and visualisation of large, heterogeneous, strongly interlinked data repositories. To achieve this, extraction methods were developed which, under consideration of existing knowledge bases, enable semantic enrichment of large heterogeneous data sets. Using…

Cross-Modal Visual Analysis

COMET project 2010

In the course of the project machine learning methods should be implemented and analysed to classify textual data. At the ICG appropriate classification algorithms have been developed which should be applied to the textual domain to test the performance of cross-domain classification. The goal was to analyse the applicability of…

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…

Extraction and Analysis of Semantic Patterns in Knowledge Repositories

COMET project 2010

The goal of the project is the development of an integrated, flexible system for supporting searching and analysis of heterogeneous, semantically integrated patent data bases. The system should simplify and accelerate information seeking processes and offer both automatic and visually supported means of analysis. In this way a considerable improvement…

Knowledge Extraction from Community Based Multimodal Repositories

COMET project 2009

In social tagging environments, users contribute content (news, blogs, pictures, videos, scientific articles etc.) and tag content contributed by themselves or others. The resulting data structures, connecting users, tags and content, are called foksonomies. The idea of the Semantic Web is to describe web content in an unambiguous and machine-readable…

Knowledge Transfer towards Industry

COMET project 2009

It is one of the strategic goals of the Know-Center to introduce newest knowledge management developments to its partners as well as to Austrian Industry and interested public in general. This is also the goal of the present project. From the close and intensive cooperation with its partners the Know-Center…

Service Oriented Architectures for Navigation and Search in heterogeneous Repositories

COMET project 2009

The goal of this project is the development of visual tools and maintainance of the KD-Service webservice. Based on the existing KD-Service framework a client application has been developed which allows a user to interact with a series of visualisations of textual documents. To achieve this, the existing Knowledge Discovery…

Extraction and Analysis of Semantic Patterns in Knowledge Repositories

COMET project 2009

The goal of the project is the development of an integrated, flexible system for supporting searching and analysis of heterogeneous, semantically integrated patent data bases. The sys-tem should simplify and accelerate information seeking processes and offer both automatic and visually supported means of analysis. In this way a considerable improvement…

Cross-Modal Visual Analysis

COMET project 2009

In the course of the project machine learning methods should be implemented and analysed to classify textual data. At the ICG appropriate classification algorithms have been developed which should be applied to the textual domain to test the performance of cross-domain classification. The goal was to analyse the applicability of…

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