Science, to a large degree is like building a house of ideas on the foundations laid by others. The Data and Ontologies track introduces important data sets and ontologies to the Semantic Web community. This highly important task is often difficult to publish, as its main contribution lies in providing others the means for accomplishing their goals. For example, DBpedia, SIOC and FOAF are some of the of the most valuable and widely used resources in our community, and have made an invaluable contribution to our science. The aim of this track is to provide a forum for such contributions. We are looking for submissions that describe ontologies and/or data sets that are published using best practices and have demonstrable use or potential for reuse. Additionally, we encourage lessons learned from the creation of these resources. Finally, we are interested in innovative methods for representation and data integration used to create the dataset or ontology.