Supporting Lexical Ontology Learning by Relational Exploration
S. Rudolph, J. Völker, and P. Hitzler. Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007, volume 4604 of LNAI, page 488-491. Sheffield, UK, Springer, (July 2008)ISBN: 978-3-540-73680-6
ISSN: 0302-9743.
Abstract
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.
%0 Conference Paper
%1 rvh08
%A Rudolph, Sebastian
%A Völker, Johanna
%A Hitzler, Pascal
%B Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007
%C Sheffield, UK
%D 2008
%E Priss, Uta
%E Polovina, Simon
%E Hill, Richard
%I Springer
%K exploration learning ontology relational
%P 488-491
%T Supporting Lexical Ontology Learning by Relational Exploration
%U http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation_english?publ_id=1458
%V 4604
%X Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.
@inproceedings{rvh08,
abstract = {Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.},
added-at = {2008-01-10T01:24:36.000+0100},
address = {Sheffield, UK},
author = {Rudolph, Sebastian and Völker, Johanna and Hitzler, Pascal},
biburl = {https://www.bibsonomy.org/bibtex/2a0217588122876853b921d3a44b8dce5/pitman},
booktitle = {Conceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007},
editor = {Priss, Uta and Polovina, Simon and Hill, Richard},
interhash = {952dcc010bb48780b816578fc8fc8688},
intrahash = {a0217588122876853b921d3a44b8dce5},
keywords = {exploration learning ontology relational},
month = {July 2007},
note = {ISBN: 978-3-540-73680-6
ISSN: 0302-9743},
pages = {488-491},
publisher = {Springer},
series = {LNAI},
timestamp = {2008-01-10T01:24:36.000+0100},
title = {Supporting Lexical Ontology Learning by Relational Exploration },
url = {http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation_english?publ_id=1458},
volume = 4604,
year = 2008
}