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Authors: Theodora Galani 1 ; George Papastefanatos 2 and Yannis Stavrakas 2

Affiliations: 1 RC ATHENA and NTUA, Greece ; 2 RC ATHENA, Greece

Keyword(s): Change Management, Data Evolution, RDF(S).

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Society, e-Business and e-Government ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: The dynamic nature of web data brings forward the need for maintaining data versions as well as identifying changes between them. In this paper, we deal with problems regarding understanding evolution, focusing on RDF(S) knowledge bases, as RDF is a de-facto standard for representing data on the web. We argue that revisiting past snapshots or the differences between them is not enough for understanding how and why data evolved. Instead, changes should be treated as first-class-citizens. In our view, this involves supporting semantically rich, user-defined changes that we call complex changes, as well as identifying the interrelations between them. In this paper, we present our perspective regarding complex changes, propose a declarative language for defining complex changes for RDF(S) knowledge bases, and show how this language is used to detect complex change instances among dataset versions.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Galani, T.; Papastefanatos, G. and Stavrakas, Y. (2016). A Language for Defining and Detecting Interrelated Complex Changes on RDF(S) Knowledge Bases. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-187-8; ISSN 2184-4992, SciTePress, pages 472-481. DOI: 10.5220/0005833804720481

@conference{iceis16,
author={Theodora Galani. and George Papastefanatos. and Yannis Stavrakas.},
title={A Language for Defining and Detecting Interrelated Complex Changes on RDF(S) Knowledge Bases},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2016},
pages={472-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005833804720481},
isbn={978-989-758-187-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Language for Defining and Detecting Interrelated Complex Changes on RDF(S) Knowledge Bases
SN - 978-989-758-187-8
IS - 2184-4992
AU - Galani, T.
AU - Papastefanatos, G.
AU - Stavrakas, Y.
PY - 2016
SP - 472
EP - 481
DO - 10.5220/0005833804720481
PB - SciTePress