Knowledge Yielding Ontologies for Transition-based Organization

KYOTO addresses the need for global and uniform transition of knowledge across different target groups and organizations in society and across linguistic, cultural and geographic borders. The goal of KYOTO is to develop a system that provides semantic search and information access to large quantities of distributed multimedia data for both experts and the general public, and to apply this system to the environmental domain on a global scale. Information access is provided through a cross-lingual user-friendly interface that allows for high-precision search and information dialogues over a variety of data from wide-spread sources in a range of different languages: English, Dutch, Italian, Spanish, Basque, Chinese and Japanese. This is made possible through a customizable ontology that is linked to various wordnets and a set of knowledge yielding text miners (so-called Kybots) for a variety of languages. Concept extraction and text mining are applied through a chain of linguistic and semantic processors that share a common knowledge base. This guarantees a uniform interpretation layer for the diverse information from different sources and languages. The system can be mantained and kept up to date by specialists in the field using an open Wiki platform.