In recent years there has been an increasing interest in the development and application of ontologies. Consequently, many research groups have produced many ontologies in both collaborative and independent efforts. The development of application ontologies, for example, usually requires the reuse of different ontologies, so bits from different ontologies have to be combined. For this purpose, developers have to decide which ontology to use for their particular purposes, but they lack support for making an informed decision. Given the different backgrounds of the ontology builders, ontologies with different structure and content are produced, making it harder to choose for users and developers alike. Such decision would certainly benefit from the assessment of the quality of those candidate ontologies.

Ensuring the quality of the ontologies built and the processes used for its design and implementation would certainly contribute to higher quality semantic systems and to the success of the Semantic Web, and to move ontology engineering towards an engineering field.

Addressing quality in Engineering means to address a series of different aspects ranging from the construction process to the final product. Recently, for example, the success of social networks is converting social aspects of ontology building and use in to a new quality indicator.

The process of building ontologies has traditionally been an art rather than an engineering process, despite the existence of methodologies for supporting this process. The correct application of methodologies already help guarantee some quality in the resulting ontology, although the quality offered by such methodologies has not, so far, been measured quantitative or qualitatively. There are no maturity models for the ontology building processes that might be used for this purpose. On the other hand, ontology design patterns play an important role in obtaining higher quality ontologies. In the last years, some international efforts have been put on defining such patterns for generic ontology building or oriented to particular domains, so knowing the best and worst practices would also contribute to get better ontologies.

The objective of this workshop is to serve as a forum for sharing the most recent efforts and experiences in this area, disseminating the current best practices and discussing the directions that the field should take. Therefore, this workshop is oriented to any researcher or practitioner working or interested in the following areas:
- reusing ontologies with informed decisions
- methods and tools for evaluating the technical quality of ontologies
- methods and tools for evaluating the quality of the content of ontologies
- methods and tools for improving ontology construction processes
- methods and tools for adapting and applying quality standards from other engineering fields to ontology evaluation
- relevant dimensions of quality for domain and high-level ontologies in specific domains
- methods and tools for evaluating the practical and social success of ontologies
- best (and worst) practices in ontology building
- improving the quality of ontologies through design patterns
- experiences of quality evaluation in specific domains