Qualitative analysis of vocabulary evolution on the linked open data cloud

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/

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.

Journal
CEUR Workshop Proceedings: Volume 1597