2003 KIMSemanticAnnotPlatform
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- (Popov et al., 2003a) ⇒ Borislav Popov, Atanas Kiryakov, Damyan Ognyanoff, Dimitar Manov, Angel Kirilov, and Miroslav Goranov. (2003). “KIM - Semantic Annotation Platform.” In: Proceedings of the 2nd International Semantic Web Conference (IWSC 2003). doi:10.1007/b14287.
Subject Headings: KIM System, Semantic Annotation System, Ontology Population System.
Notes
Cited By
2006
- (Hassell et al., 2006) ⇒ Joseph Hassell, Boanerges Aleman-Meza, and I. Budak Arpinar. (2006). “Ontology-driven automatic entity disambiguation in unstructured text.” In: Proceedings of the 5th International Semantic Web Conference (ISWC). doi:10.1007/11926078
- KIM is an application that aims to be an automatic ontology population system that runs over text documents to provide content for the Semantic Web [17]. The KIM platform has many components that are unrelated to our work but within these components, there is an entity recognition portion. KIM disambiguates entities within a document by using a natural language processor and then attempts to index these entities. The evaluation of the KIM system is done by comparing the results to human-annotated corpora, much like our method of evaluation.
Quotes
Abstract
The KIM platform provides a novel Knowledge and Information Management infrastructure and services for automatic semantic annotation, indexing, and retrieval of documents. It provides mature infrastructure for scaleable and customizable information extraction (IE1) as well as annotation and document management, based on GATE2. In order to provide basic level of performance and allow easy bootstrapping of applications, KIM is equipped with an upper-level ontology and a knowledge base providing extensive 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.
References
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