The role of ontology engineering in linked data publishing and management: an empirical study
The role of ontology engineering in linked data publishing and management: an empirical study
In this article the authors evaluate the adoption and applicability of established ontology engineering results by the Linked Data providers' community. The evaluation relies on a combination of qualitative and quantitative methods; in particular, the authors conducted an analytical survey containing structured interviews with data publishers in order to give an account of the current ontology engineering practice in Linked Data provisioning, and compared and expanded our findings with statistics on ontology development and usage provided by the Billion Triple Challenges datasets from 2012 (using the vocab.cc platform) and from 2014 and other related tools. The findings of the evaluation allow data practitioners and ontologists to yield a better understanding of the conceptual part of the LOD Cloud; and form the basis for the definition of purposeful, empirically grounded guidelines and best practices for developing, managing and using ontologies in the new application scenarios that arise in the context of Linked Data.
74-91
Luczak-Roesch, Markus
6cfe587f-e02c-48e8-b2b8-543952ab50a7
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Stadtmüller, Steffen
468000ae-32dc-489b-82ae-139232cb40b0
Käfer, Tobias
e8da71c5-9834-40b4-b3c7-9f3b2862bdd4
July 2014
Luczak-Roesch, Markus
6cfe587f-e02c-48e8-b2b8-543952ab50a7
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Stadtmüller, Steffen
468000ae-32dc-489b-82ae-139232cb40b0
Käfer, Tobias
e8da71c5-9834-40b4-b3c7-9f3b2862bdd4
Luczak-Roesch, Markus, Simperl, Elena, Stadtmüller, Steffen and Käfer, Tobias
(2014)
The role of ontology engineering in linked data publishing and management: an empirical study.
International Journal on Semantic Web and Information Systems, 10 (3), .
(doi:10.4018/IJSWIS.2014070103).
Abstract
In this article the authors evaluate the adoption and applicability of established ontology engineering results by the Linked Data providers' community. The evaluation relies on a combination of qualitative and quantitative methods; in particular, the authors conducted an analytical survey containing structured interviews with data publishers in order to give an account of the current ontology engineering practice in Linked Data provisioning, and compared and expanded our findings with statistics on ontology development and usage provided by the Billion Triple Challenges datasets from 2012 (using the vocab.cc platform) and from 2014 and other related tools. The findings of the evaluation allow data practitioners and ontologists to yield a better understanding of the conceptual part of the LOD Cloud; and form the basis for the definition of purposeful, empirically grounded guidelines and best practices for developing, managing and using ontologies in the new application scenarios that arise in the context of Linked Data.
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Published date: July 2014
Organisations:
Web & Internet Science
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Local EPrints ID: 382886
URI: http://eprints.soton.ac.uk/id/eprint/382886
ISSN: 1552-6283
PURE UUID: f019ec7d-a1fd-4aee-8135-469accf3e64f
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Date deposited: 04 Nov 2015 11:09
Last modified: 14 Mar 2024 21:34
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Author:
Markus Luczak-Roesch
Author:
Steffen Stadtmüller
Author:
Tobias Käfer
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