Borislav Popov

TL;DR: This paper presents a semantically enhanced information extraction system, which provides automatic semantic annotation with references to classes in the ontology and to instances and argues that such large-scale, fully automatic methods are essential for the transformation of the current largely textual web into a Semantic Web.

TL;DR: A simplistic upper-level ontology is introduced which starts with some basic philosophic distinctions and goes down to the most popular entity types, thus providing many of the inter-domain common sense concepts and allowing easy domain-specific extensions.

TL;DR: The KIM platform as mentioned in this paper provides a knowledge and information management framework and services for automatic semantic annotation, indexing, and retrieval of documents, based on a simple model of real-world entity concepts and quasi-exhaustive instance knowledge.

TL;DR: The KIM 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.

TL;DR: The approach towards Semantic Web Information Extraction (IE) presented here is implemented in KIM – a platform for semantic indexing, annotation, and retrieval that combines IE based on the mature text engineering platform (GATE1) withSemantic Web-compliant knowledge representation and management.