Detail publikace
BOLE - A New Bio-Ontology Learning Platform
SMRŽ, P., NOVÁČEK, V.
Originální název
BOLE - A New Bio-Ontology Learning Platform
Anglický název
BOLE - A New Bio-Ontology Learning Platform
Jazyk
en
Originální abstrakt
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 the
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 brief
comparative overview of other relevant approaches and outline the future
work on representation of uncertain knowledge for bio-ontology merging.
Anglický abstrakt
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 the
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 brief
comparative overview of other relevant approaches and outline the future
work on representation of uncertain knowledge for bio-ontology merging.
Dokumenty
BibTex
@inproceedings{BUT18261,
author="Pavel {Smrž} and Vít {Nováček}",
title="BOLE - A New Bio-Ontology Learning Platform",
annote="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 the
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 brief
comparative overview of other relevant approaches and outline the future
work on representation of uncertain knowledge for bio-ontology merging.
",
booktitle="Proceedings of the Workshop on Biomedical Ontologies and Text Processing, European Conference on Computational Biology",
chapter="18261",
year="2005",
month="september",
pages="100--107",
type="conference paper"
}