The Semantic Web already contains thousands of ontologies and millions of semantic documents and this huge repository provides an unprecedented source of formalised knowledge which can support search, intelligent problem solving and knowledge engineering by reusable components. Ontology search engines such as Watson already make it possible to locate specific statements in this large scale resource and import them (for example) in an ontology under development. However an important aspect of semantic metadata is that their quality varies dramatically. Hence it is important to develop mechanisms which allow people and applications to make estimates about the quality and trustworthiness of information available on the Semantic Web. To address this issue, in the OpenKnowledge project we are developing a computational model for assigning trust values to ontological entities. In contrast with other models of trust which assume that a user explicitly reviews a particular entity in a ontology, in our model the user is only asked to express a quality judgment over a specific triple. Trust values are then automatically assigned to the relevant entities in the ontology, which are either explicitly or implicitly related to the triple, using a rigorous approach based on the formal semantics of the ontology. The result of this work will then be a general-purpose trust engine which can be interfaced with any application or human user who wishes to assess the trustworthiness of information retrieved from the Semantic Web. More information is available in Deliverable 8.6.(not available yet)