Vagueness is a common human knowledge and language phenomenon, typically manifested by terms and concepts like High, Expert, Bad, Near etc. In an OWL ontology vagueness may appear in the definitions of classes, properties and datatypes. For such entities a more explicit description of the nature and characteristics of their vagueness/non-vagueness is required. 

The Vagueness Ontology (VO) is an OWL-based ontology that enables the explicit identification and description of vague entities and (some of) their vagueness-related characteristics in OWL ontologies. Such a description is to be made by ontology creators and its goal is the narrowing of the possible interpretations that its vague entities may assume by human and software agents.

We kindly ask your help for evaluating the Vagueness Ontology. The user testing session is organised in the following steps:
  1. We ask you to fill a preliminary questionnaire about your data and expertise. [about 2 mins.]
  2. We ask you to open the material we provide you in order to understand what VO is about and what is its ontological organisation. In particular, we provide the source of the ontology (you can use your own editor to browse it), the online documentation and the examples we prepared to show how to use the ontology itself. [about 20 mins.]
  3. Then, we ask you to translate three natural language questions into SPARQL queries according to VO. We provide you a SPARQL endpoint with the examples of use of VO introduced previously, in order to allow you to test the query. [about 15 mins.]
  4. Finally, we ask you to fill two additional questionnaires about your experience in using VO to translate the natural language questions. [about 5 mins.]