{borislav, naso, angel, mitac, damyan, miro}@sirma.bg
Abstract. The KIM[1]
platform provides a novel Knowledge and Information Management (KIM)
infrastructure and services for automatic semantic annotation, indexing, and
retrieval of documents. It provides mature infrastructure for scaleable and
customizable information extraction (IE[2]) as
well as annotation and document management, based on GATE[3]. In
order to allow easy bootstrapping of applications, KIM is equipped with an
upper-level ontology and a knowledge base providing exhaustive coverage of
entities of general importance. The ontologies and knowledge bases involved are
handled using cutting edge Semantic Web technology and standards, including
RDF(S) repositories, ontology middleware and reasoning.
From technical point of view, the
platform allows KIM-based applications to use it for automatic semantic
annotation, content retrieval based on semantic restrictions, and querying and
modifying the underlying ontologies and knowledge bases.
This paper presents the KIM platform, with emphasize on its architecture,
interfaces, tools, and other technical issues.
[1] Knowledge and Information Management Platform, see http://www.ontotext.com/kim
[2] Information extraction, a relatively young discipline in the Natural Language Processing (NLP), which conducts partial analysis of text in order to extract specific information.
[3] General Architecture for Text Engineering (GATE), http://gate.ac.uk, leading NLP and IE platform developed in the University of Sheffield.