Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other chara ....Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning
materials, contracts, plans, designs, software configurations, etc)
is increasingly expected in knowledge processing and decision
making. This requires the discovery of discrete underlying models and
taxonomies of subject domains and statistical matching in dynamically
varying contexts defined by changing personal preferences, tasks,
objectives and other characteristics. This project addresses formal
models of context and similarity based in applied lattice theory
(formal concepts), feature logic and statistical retrieval. Parallel
algorithms will be developed, analysed and benchmarked to enable
high-performance processing of vast numbers of heterogeneous objects
in a distributed knowledge web.Read moreRead less