is a robust, scalable semi-structured database developed at MIT
for the creation and application of very large knowledge bases.
FramerD was developed to support large, distributed, international
knowledge-based applications. FramerD is an open-source project whose
primary development has moved from MIT to beingmeta, where the core
product is being extended and hardened while new functions and
capabilities are being added.
is a rich background knowledge base originally developed
at MIT and currently being extended by beingmeta. These extensions
include links to other natural languages (besides English) and the
addition of new concepts to the ontology. Also, beingmeta is
developing proprietary knowledge bases with more specialized concepts
and particular economic and geographical knowledge.
is a framework for organizational content and knowledge management
based on three key principles: the creation of federated metadata describing
content and knowledge resources across the enterprise;
application and creation of background knowledge bases
to describe organization knowledge and information;
detailed analysis of organizational content
to improve information access and support decision-making
is a demonstrator of multi-lingual information access applied to
image archives and using the BRICO ontology. Images in databases or
on the web are described using concepts rather than keywords,
allowing more precise searching as well as interlingual annotation and
access.