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.
1255-1273
Luczak-Rösch, 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
5 January 2018
Luczak-Rösch, 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-Rösch, Markus, Simperl, Elena, Stadtmüller, Steffen and Käfer, Tobias
(2018)
The role of ontology engineering in linked data publishing and management: an empirical study.
In,
Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications.
IGI Global, .
(doi:10.4018/978-1-5225-5191-1.ch055).
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Book Section
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: 5 January 2018
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Local EPrints ID: 420615
URI: http://eprints.soton.ac.uk/id/eprint/420615
PURE UUID: 96918e52-5149-42f0-955f-157ba87b4d5e
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Date deposited: 11 May 2018 16:30
Last modified: 05 Jun 2024 17:31
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Author:
Markus Luczak-Rösch
Author:
Steffen Stadtmüller
Author:
Tobias Käfer
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