Detailed Information on Publication Record
2005
BOLE - A New Bio-Ontology Learning Platform
NOVÁČEK, Vít and Pavel SMRŽBasic information
Original name
BOLE - A New Bio-Ontology Learning Platform
Name in Czech
BOLE - Nova platforma pro ziskavani bio-ontologii
Name (in English)
BOLE - A New Bio-Ontology Learning Platform
Authors
NOVÁČEK, Vít (203 Czech Republic, guarantor) and Pavel SMRŽ (203 Czech Republic)
Edition
Madrid, Proceedings of International Workshop on Biomedical Ontologies and Text Processing (held in conjunction with 4th European Conference on Computational Biology), p. 36-39, 4 pp. 2005
Publisher
INB
Other information
Language
Czech
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:
RIV identification code
RIV/00216224:14330/05:00013466
Organization unit
Faculty of Informatics
Keywords in English
ontology extraction; text mining
Tags
International impact, Reviewed
Změněno: 21/11/2006 12:25, doc. Mgr. Bc. Vít Nováček, PhD
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.
In English
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.
Links
| 1ET100300419, research and development project |
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