Quinary has been involved in advanced IT research projects since its early days, both at the national (CNR, the Italian National Research Council) and international level (European Commission sponsored research). Quinary’s original research in Knowledge Management has been reported in a number of international scientific publications.
X-Media - large scale knowledge sharing and reuse across media.
An European Union funded project within the sixth framework of the Information Society Technologies (IST) program. Started in March 2006, the project will last for four years, and will address the issue of knowledge management in complex distributed environments. It focuses on the ability to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories…).
Dot.Kom - Designing adaptive infOrmation exTraction from text for KnOwledge Management
An R&D project partially funded by the EC within the fifth framework of the Information Society Technologies (IST) programme, promoted by the EC during the four-year period 1998-2002.
PEKING - PEople and Knowledge cross-lingual INformation Gathering
An EC sponsored project within the fifth framework of the Information Society Technologies (IST) program. Started in January 2001, was brillantly completed on December 2002. Its focus was on building advanced tecnologies for knowledge management, enabling contextualization of knowledge with respect to users and activities. Work carried out in Peking was seminal in building Quinary solutions for Knowledge Management, further enhanced by R&D work from the Dot.Kom project.
TAL - Trattamento Automatico della Lingua (Automatic Language Treatment)
A project funded by MURST, the Italian Ministry of Science and Technology, to support the development of the Italian Wordnet.
FACILE - Fast and Accurate Categorisation of Information by Language Engineering
Building upon a previous EC funded project named COBALT (Construction, augmentation and use of knowledge bases from natural language documents), the system developed by FACILE isolates and extracts high-value business intelligence from multilingual textual document assets, categorises content according to a rich conceptual classification hierarchy and automatically routes appropriate information to financial institutions (banks, trading companies, rating agencies etc.). The system is implemented as a generic development environment that can be used to build specific applications and is equipped with linguistic tools and knowledge bases specific to the domain of international finance.
Project FACILE has been selected for a presentation at IST ‘98 as one of the best EC supported research projects of the year.
Quinary was also a partner in EC sponsored projects CONCERTO (Conceptual indexing, querying and retrieval of digital documents), TAMIC-P (Transparent Access to Multiple Information for the Citizen: Pensions), TREE (TRans European Employment), and GIST (Generating InStructional Text).
Projects’ home pages can be found here.
