Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator

NOVÁČEK, Vít, Pavel SMRŽ and Jan POMIKÁLEK. Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator. In Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation. Paris: ELRA, 2006, p. 1338-1343. ISBN 2-9517408-2-4.

Basic information

• Original name: Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
• Name in Czech: Dolovani semantickych relaci v textu v ramci podpory generatoru vedeckych portalu
• Authors: NOVÁČEK, Vít (203 Czech Republic, guarantor), Pavel SMRŽ (203 Czech Republic) and Jan POMIKÁLEK (203 Czech Republic).
• Edition: Paris, Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation, p. 1338-1343, 6 pp. 2006.
• Publisher: ELRA

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14330/06:00015339
• Organization unit: Faculty of Informatics
• ISBN: 2-9517408-2-4
• Keywords in English: Semantic Web; ontology acquisition; automatic generation of web portals
• Tags: ontology acquisition, semantic web
• Tags: International impact, Reviewed

Abstract

Current Semantic Web implementation efforts pose a number of challenges. One of the big ones among them is development and evolution of specific resources --- the ontologies --- as a base for representation of the meaning of the web. This paper deals with the automatic acquisition of semantic relations from the text of scientific publications (journal articles, conference papers, project descriptions, etc.). We also describe the process of building of corresponding ontological resources and their application for semi--automatic generation of scientific portals. Extracted relations and ontologies are crucial for the structuring of the information at the portal pages, automatic classification of the presented documents as well as for personalisation at the presentation level. Besides a general description of the portal generating system, we give also a detailed overview of extraction of semantic relations in the form of a domain--specific ontology. The overview consists of presentation of an architecture of the ontology extraction system, description of methods used for mining of semantic relations and analysis of selected results and examples.

Abstract (in Czech)

Clanek se zabyva popisem dolovani semantickych relaci z textu, ktere je mozne vyuzit pro tvorbu komplexnich domenovych bazi znalosti - ontologii - a nasledne take napriklad pro automatizovanou tvorbu vedeckych portalu.

Links

• 1ET100300419, research and development project: Name: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu

Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)