A. Maedche, and S. Staab. Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web, volume 2473 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2002)
DOI: 10.1007/3-540-45810-7_24
Abstract
Ontologies now play an important role for many knowledge-intensive applications for which they provide a source of precisely defined terms. However, with their wide-spread usage there come problems concerning their proliferation. Ontology engineers or users frequently have a core ontology that they use, e.g., for browsing or querying data, but they need to extend it with, adapt it to, or compare it with the large set of other ontologies. For the task of detecting and retrieving relevant ontologies, one needs means for measuring the similarity between ontologies. We present a set of ontology similarity measures and a multiple-phase empirical evaluation.
Description
Measuring Similarity between Ontologies - Springer
%0 Book Section
%1 maedche2002measuring
%A Maedche, Alexander
%A Staab, Steffen
%B Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web
%D 2002
%E Gómez-Pérez, Asunción
%E Benjamins, V.Richard
%I Springer Berlin Heidelberg
%K evaluation phd schemdesc
%P 251-263
%R 10.1007/3-540-45810-7_24
%T Measuring Similarity between Ontologies
%U http://userpages.uni-koblenz.de/~staab/Research/Publications/ekaw2002-compare.pdf
%V 2473
%X Ontologies now play an important role for many knowledge-intensive applications for which they provide a source of precisely defined terms. However, with their wide-spread usage there come problems concerning their proliferation. Ontology engineers or users frequently have a core ontology that they use, e.g., for browsing or querying data, but they need to extend it with, adapt it to, or compare it with the large set of other ontologies. For the task of detecting and retrieving relevant ontologies, one needs means for measuring the similarity between ontologies. We present a set of ontology similarity measures and a multiple-phase empirical evaluation.
%@ 978-3-540-44268-4
@incollection{maedche2002measuring,
abstract = {Ontologies now play an important role for many knowledge-intensive applications for which they provide a source of precisely defined terms. However, with their wide-spread usage there come problems concerning their proliferation. Ontology engineers or users frequently have a core ontology that they use, e.g., for browsing or querying data, but they need to extend it with, adapt it to, or compare it with the large set of other ontologies. For the task of detecting and retrieving relevant ontologies, one needs means for measuring the similarity between ontologies. We present a set of ontology similarity measures and a multiple-phase empirical evaluation.},
added-at = {2014-02-17T15:17:38.000+0100},
author = {Maedche, Alexander and Staab, Steffen},
biburl = {https://www.bibsonomy.org/bibtex/240f89c214a51e77a3b4dbaa6a1c368d0/jullybobble},
booktitle = {Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web},
description = {Measuring Similarity between Ontologies - Springer},
doi = {10.1007/3-540-45810-7_24},
editor = {Gómez-Pérez, Asunción and Benjamins, V.Richard},
interhash = {d5b06cd1af41e25a751ab755fb3a0068},
intrahash = {40f89c214a51e77a3b4dbaa6a1c368d0},
isbn = {978-3-540-44268-4},
keywords = {evaluation phd schemdesc},
language = {English},
pages = {251-263},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2014-07-27T15:43:19.000+0200},
title = {Measuring Similarity between Ontologies},
url = {http://userpages.uni-koblenz.de/~staab/Research/Publications/ekaw2002-compare.pdf},
volume = 2473,
year = 2002
}