A Structure of Semantic Service in a Distributed Knowledge Based System

He is a member of the International Society of Information Fusion (ISIF) Evaluation of Technologies for Uncer- tainty Reasoning Working Group (ETURWG) Automatic Target

i) The extraction stage was undertaken mainly by a know- ledge engineer using NLP tools applied to sources suggested by experts. As a means of producing a list of relevant terms in

Instead, we are concerned with the management of Web data in place in a distributed manner, with a possibly large number of autonomous, heterogeneous systems collaborating to

To overcome these shortcomings in intra- and inter-organizational design knowledge reuse, we’ve implemented a shared design knowledge reposi- tory based on

Recently, attempts have been done to formalize Semantic Matchmaking, the process of finding potential matches between demands and supplies based on their logical relations

Existing methods use logical reasoning over computed equivalence relationships or machine learning based on lex- ical and structural features of ontology elements [7, 3].. While

In order to build such a model, this component queries and interacts with the available data sources, both private and public ones, and identifies the knowledge “bits” useful

After adding the is-a relation between limb joint and joint, not only (wrist joint, joint) is repaired, but all other missing is-a relations in our example as well, as they can