OntoSemStats: An Ontology to Express the Use of Semantics in RDF-Based Knowledge Graphs

Pierre-Henri Paris, Fayçal Hamdi, Samira Si-Said Cherfi

Abstract: For many users or automated agents, working with knowledge graphs may be a complicated task. Indeed, multiple tools using knowledge graphs rely on semantics to perform at their best. For example, in the context of data integration, some instance matching tools use semantic features such as functional and inverse functional properties or disjoint classes to discover instances that are the same (or not). Hence, in many cases, conducting an exploratory study is required to discover which semantic features are used or defined in a knowledge graph. In this paper, we propose an ontology and a large-scale ontology-based Web service that provides statistics about the use of OWL 2 and RDFS semantic features (e.g. functional properties or subclasses) in knowledge graphs. This will allow a human or automatic agent to choose the most appropriate tool or data for a given task. It also gives the data publishers a clear picture about the semantics they provide to data consumers. These statistics are represented in the form of an RDF graph (with different serialization possibilities), making them easy to use and share.