Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28034
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Abdel-Qader, Mohammad
Scherp, Ansgar
Title: Qualitative analysis of vocabulary evolution on the linked open data cloud
Editor(s): Demidova, E
Dietze, S
Szymański, J
Breslin, J
Citation: Abdel-Qader M & Scherp A (2016) Qualitative analysis of vocabulary evolution on the linked open data cloud. In: Demidova E, Dietze S, Szymański J & Breslin J (eds.) Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, volume 1597. CEUR Workshop Proceedings, 1597. Dataset Profiling and Federated Search for Linked Data: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES '16), Anissaras, Greece, 30.05.2016-30.05.2016. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1597/
Issue Date: 31-Dec-2016
Date Deposited: 22-Oct-2018
Series/Report no.: CEUR Workshop Proceedings, 1597
Conference Name: Dataset Profiling and Federated Search for Linked Data: 3rd International Workshop on Dataset Profiling and Federated Search for Linked Data (PROFILES '16)
Conference Dates: 2016-05-30 - 2016-05-30
Conference Location: Anissaras, Greece
Abstract: We analyse the evolution of vocabularies on the Linked Open Data cloud. Based on the recent statistics of the LOD cloud, we have selected the twelve most dominant vocabularies in terms of their use in different pay-level domains. The number of versions we found for these vocabularies range between 2 to 11. While some ontologies exist for more than 10 years (e.g., FOAF) others are only online since a few years (like DCAT). Our analysis shows that many changes occurred on annotation properties. This reflects a need for more clarification of the terms, especially at early versions of the vocabularies. The majority of changes in the vocabularies are due to changes in other, imported vocabularies. Thus, there is a co-evolution of different vocabularies. This insight has practical impacts to ontology engineers. They not only need to consider the evolution of the vocabularies they directly use, but also those they import and indirectly depend on.
Status: VoR - Version of Record
Rights: Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes.
URL: http://ceur-ws.org/Vol-1597/

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