Cimiano, P.; Staab, S. & Tane, J.
(2003):
Automatic Acquisition of Taxonomies from Text: FCA meets NLP.
In: Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining,
Cavtat-Dubrovnik, Croatia.
[Volltext]
[Kurzfassung] [BibTeX][Endnote]
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from domain-specific texts based on Formal Concept Analysis (FCA). Our approach is based on the assumption that verbs pose more or less strong selectional restrictions on their arguments. The conceptual hierarchy is then built on the basis of the inclusion relations between the extensions of the selectional restrictions of all the verbs, while the verbs themselves provide intensional descriptions for each concept. We formalize this idea in terms of FCA and show how our approach can be used to acquire a concept hierarchy for the tourism domain out of texts. We then evaluate our method by considering an already existing ontology for this domain.
@inproceedings{cimiano2003automatic,
author = {Cimiano, Philipp and Staab, Steffen and Tane, Julien},
title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
booktitle = {Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining},
address = {Cavtat-Dubrovnik, Croatia},
year = {2003},
pages = {10--17},
url = {http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf},
keywords = {ol_web2.0, ontology_learning, taxonomic_overlap, methods_from_text},
abstract = {We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from domain-specific texts based on Formal Concept Analysis (FCA). Our approach is based on the assumption that verbs pose more or less strong selectional restrictions on their arguments. The conceptual hierarchy is then built on the basis of the inclusion relations between the extensions of the selectional restrictions of all the verbs, while the verbs themselves provide intensional descriptions for each concept. We formalize this idea in terms of FCA and show how our approach can be used to acquire a concept hierarchy for the tourism domain out of texts. We then evaluate our method by considering an already existing ontology for this domain.}
}
%0 = inproceedings
%A = Cimiano, Philipp and Staab, Steffen and Tane, Julien
%B = Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining
%C = Cavtat-Dubrovnik, Croatia
%D = 2003
%T = Automatic Acquisition of Taxonomies from Text: FCA meets NLP
%U = http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf