Many large ontologies have been created which make use of
OWL’s expressiveness for specification. However, tools to ensure that instance
data is in compliance with the schema are often not well integrated
with triple-stores and cannot detect certain classes of schema-instance
inconsistency due to the assumptions of the OWL axioms. This can lead
to lower quality, inconsistent data. We have developed a simple ontology
consistency and instance checking service, SimpleConsist8. We also
define a number of ontology design best practice constraints on OWL
or RDFS schemas. Our implementation allows the user to specify which
constraints should be applied to schema and instance data.
%0 Conference Paper
%1 conf/esws/Mendel-GleasonF15
%A Mendel-Gleason, Gavin
%A Feeney, Kevin
%A Brennan, Rob
%B LDQ@ESWC
%D 2015
%E Rula, Anisa
%E Zaveri, Amrapali
%E Knuth, Magnus
%E Kontokostas, Dimitris
%I CEUR-WS.org
%K aligned-project
%T Ontology Consistency and Instance Checking for Real World Linked Data.
%U http://dblp.uni-trier.de/db/conf/esws/ldq2015.html#Mendel-GleasonF15
%V 1376
%X Many large ontologies have been created which make use of
OWL’s expressiveness for specification. However, tools to ensure that instance
data is in compliance with the schema are often not well integrated
with triple-stores and cannot detect certain classes of schema-instance
inconsistency due to the assumptions of the OWL axioms. This can lead
to lower quality, inconsistent data. We have developed a simple ontology
consistency and instance checking service, SimpleConsist8. We also
define a number of ontology design best practice constraints on OWL
or RDFS schemas. Our implementation allows the user to specify which
constraints should be applied to schema and instance data.
@inproceedings{conf/esws/Mendel-GleasonF15,
abstract = {Many large ontologies have been created which make use of
OWL’s expressiveness for specification. However, tools to ensure that instance
data is in compliance with the schema are often not well integrated
with triple-stores and cannot detect certain classes of schema-instance
inconsistency due to the assumptions of the OWL axioms. This can lead
to lower quality, inconsistent data. We have developed a simple ontology
consistency and instance checking service, SimpleConsist[8]. We also
define a number of ontology design best practice constraints on OWL
or RDFS schemas. Our implementation allows the user to specify which
constraints should be applied to schema and instance data.},
added-at = {2015-07-27T13:07:10.000+0200},
author = {Mendel-Gleason, Gavin and Feeney, Kevin and Brennan, Rob},
biburl = {https://www.bibsonomy.org/bibtex/2a8d40d45121f99456f521ebb460c626b/gavin.gleason},
booktitle = {LDQ@ESWC},
crossref = {conf/esws/2015ldq},
editor = {Rula, Anisa and Zaveri, Amrapali and Knuth, Magnus and Kontokostas, Dimitris},
ee = {http://ceur-ws.org/Vol-1376/LDQ2015_paper_03.pdf},
interhash = {6a1803bcd8d05228d9fa7366111c72c8},
intrahash = {a8d40d45121f99456f521ebb460c626b},
keywords = {aligned-project},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
timestamp = {2015-11-20T12:21:05.000+0100},
title = {Ontology Consistency and Instance Checking for Real World Linked Data.},
url = {http://dblp.uni-trier.de/db/conf/esws/ldq2015.html#Mendel-GleasonF15},
volume = 1376,
year = 2015
}