D 2006

Ontology Acquisition for Automatic Building of Scientific Portals

NOVÁČEK, Vít and Pavel SMRŽ

Basic information

Original name

Ontology Acquisition for Automatic Building of Scientific Portals

Name in Czech

Ziskavani ontologii pro automaticke budovani vedeckych portalu

Authors

NOVÁČEK, Vít and Pavel SMRŽ

Edition

Berlin, Lecture Notes in Computer Science 3831, p. 493-500, 8 pp. 2006

Publisher

Springer

Other information

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

References:

Marked to be transferred to RIV

Yes

RIV identification code

RIV/00216224:14330/06:00015285

Organization unit

Faculty of Informatics

ISBN

3-540-31198-X

Keywords in English

text mining; semantic web; knowledge extraction; automatic ontology acquisition

Tags

International impact, Reviewed
Changed: 21/11/2006 12:23, doc. Mgr. Bc. Vít Nováček, PhD

Abstract

In the original language

Ontologies are commonly considered as one of the essential parts of the Semantic Web vision, providing a theoretical basis and implementation framework for conceptual integration and information sharing among various domains. In this paper, we present the main principles of a new ontology acquisition framework applied for semi-automatic generation of scientific portals. Extracted ontological relations play a crucial role in the structuring of the information at the portal pages, automatic classification of the presented documents as well as for personalisation at the presentation level.

In Czech

Prezentace charakteru a vyuziti automatickeho ziskavani ontologii v oblasti semantickeho webu, jmenovite semi-automatickeho vytvareni 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)