OLE - A New Ontology Learning Platform

NOVÁČEK, Vít and Pavel SMRŽ. OLE - A New Ontology Learning Platform. In International Workshop on Text Mining Research, Practice and Opportunities - Proceedings. Shoumen, Bulgaria: Incoma Ltd., 2005, p. 12-16. ISBN 954-91743-1-X.

Basic information

• Original name: OLE - A New Ontology Learning Platform
• Name in Czech: OLE - Nová platforma pro učení ontologií
• Authors: NOVÁČEK, Vít (203 Czech Republic, guarantor) and Pavel SMRŽ (203 Czech Republic).
• Edition: Shoumen, Bulgaria, International Workshop on Text Mining Research, Practice and Opportunities - Proceedings, p. 12-16, 5 pp. 2005.
• Publisher: Incoma Ltd.

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/00216224:14330/05:00013401
• Organization unit: Faculty of Informatics
• ISBN: 954-91743-1-X
• Keywords in English: ontology; natural language processing; text mining; knowledge extraction; uncertainty representation
• Tags: knowledge extraction, natural language processing, ontology, text mining, uncertainty representation
• Tags: International impact, Reviewed

Abstract

Ontologies are commonly considered as one of the essential parts of the Semantic Web, providing a theoretical basis and implementation framework for conceptual integration and information sharing among various domains. In this paper, the main principles and current highlights of the OLE project development are presented and discussed. OLE stands for Ontology LEarning. The purpose of the project is to develop a system for bottom-up automatic generation and merging of domain specific ontologies, representing particular domains of human scientific knowledge. In order to gain ontology concepts from textual resources, various methods can be used. Presently, the method of automatic acquisition of semantic relations is examined. The method and its implementation details are described here, provided with brief comparative overview of other methods used for the development of domain specific ontologies. When merging automatically created ontologies, a need of uncertain information representation arises. The main ideas of representing uncertainty in ontologies and related remarks for future work on the OLE project are mentioned in this paper as well.

Abstract (in Czech)

Prezentace navrhu platformy pro automaticke ziskavani ontologii (bazi znalosti) z volneho textu.

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)