D 2005

BOLE - A New Bio-Ontology Learning Platform

NOVÁČEK, Vít a Pavel SMRŽ

Základní údaje

Originální název

BOLE - A New Bio-Ontology Learning Platform

Název česky

BOLE - Nova platforma pro ziskavani bio-ontologii

Název anglicky

BOLE - A New Bio-Ontology Learning Platform

Autoři

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

Vydání

Madrid, Proceedings of International Workshop on Biomedical Ontologies and Text Processing (held in conjunction with 4th European Conference on Computational Biology), od s. 36-39, 4 s. 2005

Nakladatel

INB

Další údaje

Jazyk

čeština

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Kód RIV

RIV/00216224:14330/05:00013466

Organizační jednotka

Fakulta informatiky

Klíčová slova anglicky

ontology extraction; text mining

Příznaky

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

Anotace

V originále

This paper presents BOLE --- a new platform for bottom-up generation and merging of bio-ontologies. In contrast to other ontology-learning systems that are currently available, BOLE can be characterized by the modular architecture enabling integrating and comparing various methods of the automatic acquisition of semantic relations. We introduce the architecture of th e tool and discuss the methodology of the employed synthetic bottom-up approach. OLITE --- the central component responsible for the automatic acquisition of semantic relations from texts is described in detail. The presented preliminary results prove the efficiency of the implemented framework. We also provide a bri ef comparative overview of other relevant approaches and outline the future work on representation of uncertain knowledge for bio-ontology merging.

Anglicky

This paper presents BOLE --- a new platform for bottom-up generation and merging of bio-ontologies. In contrast to other ontology-learning systems that are currently available, BOLE can be characterized by the modular architecture enabling integrating and comparing various methods of the automatic acquisition of semantic relations. We introduce the architecture of th e tool and discuss the methodology of the employed synthetic bottom-up approach. OLITE --- the central component responsible for the automatic acquisition of semantic relations from texts is described in detail. The presented preliminary results prove the efficiency of the implemented framework. We also provide a bri ef comparative overview of other relevant approaches and outline the future work on representation of uncertain knowledge for bio-ontology merging.

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