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A Semantic Data Value Vocabulary Supporting Data Value Assessment and Measurement Integration

Topics: Business-It Allignment; Coupling and Integrating Heterogeneous Data Sources; Enterprise Knowledge Engineering and Management; Industrial Applications of Artificial Intelligence; Knowledge Management; Ontology Engineering; Semantic Web Technologies and Applications

Authors: Judie Attard and Rob Brennan

Affiliation: Trinity College Dublin, Ireland

Keyword(s): Data Value, Data Value Chains, Ontology, Linked Data, Data Governance, Data Management.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Cloud Computing ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Industrial Applications of Artificial Intelligence ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Semantic Web Technologies ; Services Science ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: In this paper we define the Data Value Vocabulary (DaVe) that allows for the comprehensive representation of data value. This vocabulary enables users to extend it using data value dimensions as required in the context at hand. DaVe caters for the lack of consensus on what characterises data value, and also how to model it. This vocabulary will allow users to monitor and asses data value throughout any value creating or data exploitation efforts, therefore laying the basis for effective management of value and efficient value exploitation. It also allows for the integration of diverse metrics that span many data value dimensions and which most likely pertain to a range of different tools in different formats. This data value vocabulary is based on requirements extracted from a number of value assessment use cases extracted from literature, and is evaluated using Gruber’s ontology design criteria, and by instantiating it in a deployment case study.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Attard, J. and Brennan, R. (2018). A Semantic Data Value Vocabulary Supporting Data Value Assessment and Measurement Integration. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 133-144. DOI: 10.5220/0006777701330144

@conference{iceis18,
author={Judie Attard. and Rob Brennan.},
title={A Semantic Data Value Vocabulary Supporting Data Value Assessment and Measurement Integration},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2018},
pages={133-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006777701330144},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A Semantic Data Value Vocabulary Supporting Data Value Assessment and Measurement Integration
SN - 978-989-758-298-1
IS - 2184-4992
AU - Attard, J.
AU - Brennan, R.
PY - 2018
SP - 133
EP - 144
DO - 10.5220/0006777701330144
PB - SciTePress