This paper presents an evaluation of state of the art black box justification finding algorithms on the NCBO BioPortal ontology corpus. This corpus represents a set of naturally occurring ontologies that vary greatly in size and expressivity. The results paint a picture of the performance that can be expected when finding all justifications for entailments using black box justification finding techniques. The results also show that many naturally occurring ontologies exhibit a rich justificatory structure, with some ontologies having extremely high numbers of justifications per entailment.
%0 Book Section
%1 horridge2012extracting
%A Horridge, Matthew
%A Parsia, Bijan
%A Sattler, Ulrike
%B The Semantic Web--ISWC 2012
%D 2012
%I Springer
%K imported
%P 287--299
%T Extracting justifications from bioportal ontologies
%X This paper presents an evaluation of state of the art black box justification finding algorithms on the NCBO BioPortal ontology corpus. This corpus represents a set of naturally occurring ontologies that vary greatly in size and expressivity. The results paint a picture of the performance that can be expected when finding all justifications for entailments using black box justification finding techniques. The results also show that many naturally occurring ontologies exhibit a rich justificatory structure, with some ontologies having extremely high numbers of justifications per entailment.
@incollection{horridge2012extracting,
abstract = {This paper presents an evaluation of state of the art black box justification finding algorithms on the NCBO BioPortal ontology corpus. This corpus represents a set of naturally occurring ontologies that vary greatly in size and expressivity. The results paint a picture of the performance that can be expected when finding all justifications for entailments using black box justification finding techniques. The results also show that many naturally occurring ontologies exhibit a rich justificatory structure, with some ontologies having extremely high numbers of justifications per entailment.},
added-at = {2015-01-14T21:25:14.000+0100},
author = {Horridge, Matthew and Parsia, Bijan and Sattler, Ulrike},
biburl = {https://www.bibsonomy.org/bibtex/2fa61d64c71a3b39fc375773b99c2fea7/diverzulu},
booktitle = {The Semantic Web--ISWC 2012},
file = {:D\:\\ASUS-FINO\\Inkhognito_M\\David\\PhD\\Web Semântica\\Biomedicine Ontology\\Automated Acquisition\\2012-ISWC-Extracting Justifications from BioPortal Ontologies.pdf:PDF},
interhash = {2789c6c857634f1e295483cacabc48b9},
intrahash = {fa61d64c71a3b39fc375773b99c2fea7},
keywords = {imported},
pages = {287--299},
publisher = {Springer},
timestamp = {2015-01-14T21:25:14.000+0100},
title = {Extracting justifications from bioportal ontologies},
year = 2012
}