Supporting Lexical Ontology Learning by Relational Exploration
S. Rudolph, J. Völker, and P. Hitzler. Conceptual Structures: Knowledge Architectures for Smart Applications, volume 4604 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2007)
DOI: 10.1007/978-3-540-73681-3_41
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 Book Section
%1 rudolph2007supporting
%A Rudolph, Sebastian
%A Völker, Johanna
%A Hitzler, Pascal
%B Conceptual Structures: Knowledge Architectures for Smart Applications
%C Berlin / Heidelberg
%D 2007
%E Priss, Uta
%E Polovina, Simon
%E Hill, Richard
%I Springer
%K ol_web2.0 background methods_from_text
%P 488-491
%R 10.1007/978-3-540-73681-3_41
%T Supporting Lexical Ontology Learning by Relational Exploration
%U http://dx.doi.org/10.1007/978-3-540-73681-3_41
%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.
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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 = {2011-02-17T17:43:01.000+0100},
address = {Berlin / Heidelberg},
affiliation = {Institute AIFB, Universität Karlsruhe Germany},
author = {Rudolph, Sebastian and Völker, Johanna and Hitzler, Pascal},
biburl = {https://www.bibsonomy.org/bibtex/2582e9add98a452d5cc6d4d0788d6e6d9/dbenz},
booktitle = {Conceptual Structures: Knowledge Architectures for Smart Applications},
description = {SpringerLink - Abstract},
doi = {10.1007/978-3-540-73681-3_41},
editor = {Priss, Uta and Polovina, Simon and Hill, Richard},
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pages = {488-491},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Supporting Lexical Ontology Learning by Relational Exploration},
url = {http://dx.doi.org/10.1007/978-3-540-73681-3_41},
username = {dbenz},
volume = 4604,
year = 2007
}