Collaborative Ontology Evolution and Data Quality - An Empirical Analysis

@inproceedings{Mihindukulasooriya2016CollaborativeOE,
  title={Collaborative Ontology Evolution and Data Quality - An Empirical Analysis},
  author={Nandana Mihindukulasooriya and Mar{\'i}a Poveda-Villal{\'o}n and Ra{\'u}l Garc{\'i}a-Castro and Asunci{\'o}n G{\'o}mez-P{\'e}rez},
  booktitle={OWLED},
  year={2016}
}
Since more than a decade, theoretical research on ontology evolution has been published in literature and several frameworks for managing ontology changes have been proposed. However, there are less studies that analyze widely used ontologies that were developed in a collaborative manner to understand community-driven ontology evolution in practice. In this paper, we perform an empirical analysis on how four well-known ontologies (DBpedia, Schema.org, PROV-O, and FOAF) have evolved through… 
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