OLE - A New Ontology Learning Platform

D 2005

OLE - A New Ontology Learning Platform

NOVÁČEK, Vít a Pavel SMRŽ

Základní údaje

Originální název

OLE - A New Ontology Learning Platform

Název česky

OLE - Nová platforma pro učení ontologií

Autoři

NOVÁČEK, Vít (203 Česká republika, garant) a Pavel SMRŽ (203 Česká republika)

Vydání

Shoumen, Bulgaria, International Workshop on Text Mining Research, Practice and Opportunities - Proceedings, od s. 12-16, 5 s. 2005

Nakladatel

Incoma Ltd.

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/00216224:14330/05:00013401

Organizační jednotka

Fakulta informatiky

ISBN

954-91743-1-X

Klíčová slova anglicky

ontology; natural language processing; text mining; knowledge extraction; uncertainty representation

Štítky

knowledge extraction, natural language processing, ontology, text mining, uncertainty representation

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 21. 11. 2006 12:25, doc. Mgr. Bc. Vít Nováček, PhD

Anotace

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.

Česky

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

Návaznosti

1ET100300419, projekt VaV

Název: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu

Investor: Akademie věd ČR, Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu

Citovat

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

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