BOLE - A New Bio-Ontology Learning Platform

NOVÁČEK, Vít a Pavel SMRŽ. BOLE - A New Bio-Ontology Learning Platform. In Proceedings of International Workshop on Biomedical Ontologies and Text Processing (held in conjunction with 4th European Conference on Computational Biology). Madrid: INB. s. 36-39. 2005.

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

• Originální 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
• WWW: URL
• Kód RIV: RIV/00216224:14330/05:00013466
• Organizační jednotka: Fakulta informatiky
• Klíčová slova anglicky: ontology extraction; text mining
• Štítky: ontology extraction, text mining
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

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.

Anotace 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