Abstract
In this paper, we study the impact of the human-readable documentation of Web ontologies on the ability of human users to agree on the membership of instances according to a given ontology. We first introduce a model of the problem and then present a user study, in which we measured the impact of documentation features in schema.org on the quality of annotations with n = 73 study participants. The paper concludes with a discussion of implications for ontology design in the context of the Semantic Web.
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Zarl, F., Hepp, M., Stolz, A., & Gerbino, W. (2017). Ontologies and human users: A systematic analysis of the influence of ontology documentation on community agreement about type membership. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10574 LNCS, pp. 418–426). Springer Verlag. https://doi.org/10.1007/978-3-319-69459-7_28
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