OntoBench is a generator for benchmark ontologies that supports the testing, review, and comparison of ontology tools with regard to OWL 2 coverage and concept combinations. Consistent benchmark ontologies are dynamically generated based on any combination of OWL 2 language constructs selected in a graphical user interface. OntoBench focuses on the generation of the TBox (i.e., classes, properties, datatypes, and a few key individuals), while it provides only limited support for the testing of ABox information (i.e., larger collections of individuals and data values), which is covered by other benchmarks, such as LUBM.
OntoBench significantly extends and generalizes the static benchmark ontology OntoViBe designed to test feature completeness of ontology visualization tools. OntoBench allows to dynamically generate custom benchmark ontologies for different purposes and use cases with only a few clicks. The features contained in the ontology are encoded in its long URI, while a short URI is also provided for easier reference. However, note that the short URI is NOT persistent but might be reset from time to time.
OntoBench supports nearly all OWL 2 language constructs, which are grouped into categories in the user interface — inspired by the classification used in the OWL 2 Quick Reference Guide. OntoBench provides presets of test cases for OWL Lite and DL as defined in the OWL 1 Overview and Reference as well as for OWL 2 EL, RL and QL as defined in the OWL 2 Profiles.
OntoBench is based on the OWL API, which aims to serve as a "reference implementation for creating, manipulating and serializing OWL Ontologies". The generated ontologies are provided in different OWL syntaxes (Turtle, OWL/XML, RDF/XML, etc.) thanks to the OWL API.
The source code of OntoBench is publicly available on GitHub.
Custom test cases can easily be added to the source code that has an object-oriented design: Each feature is described by a class which is derived from a superclass containing helpers and providing access to the ontology. The feature can either be modeled by directly accessing the OWL API or by using the provided helper classes. Each feature has additionally a name and a token (for the URI) and is assigned to a category for grouping in the user interface. The user interface is automatically generated from the modeled features.
OntoBench is released under the MIT license
Copyright (c) 2015/16 Vincent Link, Steffen Lohmann, Florian Haag
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