- federated metadata
- collects and harmonizes existing metadata from diverse sources
into a common organization-wide resource. This approach allows
organization-wide access to shared knowledge and content while
minimizing impact on the operations of existing productive business
units.
- linguistic content analysis
- automatically generates fine-grained metadata describing existing
textual content. beingmeta's technologies are also
multilingual through the modular integration of
linguistic and semantic knowledge of different languages. Current
languages supported by GNOSYS include English, Spanish,
French, Italian, Portugeuse, and Finnish.
- concept mining
- combines linguistic analysis with existing background knowledge bases
to semi-automatically generate domain-specific knowledge bases and
taxonomies which will aid in search, browsing, and business process
automation. This textual data mining creates interfaces for search
and browsing which are customized to the structure, practices,
products, and markets of a particular organization.
- an empirical KM practice
- uses the products of content analysis and concept mining to drive
the refinement and articulation of organizational knowledge.
Combining the top-down approach of conventional knowledge management
consulting with the bottom-up identification of important themes and
concepts, GNOSYS is a component of a novel and empirically based
practice of knowledge management
