OLE - A New Ontology Learning Platform

D 2005

OLE - A New Ontology Learning Platform

NOVÁČEK, Vít and Pavel SMRŽ

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

ORIG CZ

V originále

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.

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)

Citovat

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.

@inproceedings{581901,
   author = {Nováček, Vít and Smrž, Pavel},
   address = {Shoumen, Bulgaria},
   booktitle = {International Workshop on Text Mining Research, Practice and Opportunities - Proceedings},
   keywords = {ontology; natural language processing; text mining; knowledge extraction; uncertainty representation},
   language = {eng},
   location = {Shoumen, Bulgaria},
   isbn = {954-91743-1-X},
   pages = {12-16},
   publisher = {Incoma Ltd.},
   title = {OLE - A New Ontology Learning Platform},
   url = {http://nlp.fi.muni.cz/projects/ole/pubs.html},
   year = {2005}
}

TY  - JOUR
ID  - 581901
AU  - Nováček, Vít - Smrž, Pavel
PY  - 2005
TI  - OLE - A New Ontology Learning Platform
PB  - Incoma Ltd.
CY  - Shoumen, Bulgaria
SN  - 954917431X
KW  - ontology
KW  - natural language processing
KW  - text mining
KW  - knowledge extraction
KW  - uncertainty representation
UR  - http://nlp.fi.muni.cz/projects/ole/pubs.html
N2  - 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.
ER  -

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

Detailed Information on Publication Record