Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies
B. Suntisrivaraporn. Proceedings of the 5th European Semantic Web Conference, Berlin, Heidelberg, Springer Verlag, (June 2008)
Abstract
The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.
%0 Conference Paper
%1 suntisrivaraporn2008module
%A Suntisrivaraporn, Boontawee
%B Proceedings of the 5th European Semantic Web Conference
%C Berlin, Heidelberg
%D 2008
%E Hauswirth, Manfred
%E Koubarakis, Manolis
%E Bechhofer, Sean
%I Springer Verlag
%K ontology logic description extraction classification module incremental formal-languages-1
%T Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies
%U http://data.semanticweb.org/conference/eswc/2008/papers/14
%X The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.
@inproceedings{suntisrivaraporn2008module,
abstract = {The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.},
added-at = {2008-05-28T14:49:51.000+0200},
address = {Berlin, Heidelberg},
author = {Suntisrivaraporn, Boontawee},
biburl = {https://www.bibsonomy.org/bibtex/23171f537650171bf487c8afdc4b90320/eswc2008},
booktitle = {Proceedings of the 5th European Semantic Web Conference},
editor = {Hauswirth, Manfred and Koubarakis, Manolis and Bechhofer, Sean},
interhash = {e1f2379bcbf256f19e2269367bef5877},
intrahash = {3171f537650171bf487c8afdc4b90320},
keywords = {ontology logic description extraction classification module incremental formal-languages-1},
month = {June},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2008-05-28T14:49:51.000+0200},
title = {Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies},
url = {http://data.semanticweb.org/conference/eswc/2008/papers/14},
year = 2008
}