...apply knowledge representation and Semantic Web technologies to problems in discovering and integrating ecological data and data analysis techniques. These technologies rely on ontologies that appropriately capture and encode scientific knowledge from the domains of interest.

the two major uses of ontologies are accessing and analyzing ecologically important information. The first activity uses the ontologies to describe ecological and environmental data sets in sufficient detail to permit automation of the discovery of data sets relevant to addressing a particular scientific question. The second activity uses the ontologies to describe data analysis tools so that the semantic mediation system can assist in the selection of tools and creation of scientific workflows given semantic descriptions of the incoming data and/or the desired results.

Richard J. Williams, Neo Martinez and Jennifer Golbeck. Ontologies for ecoinformatics. Web Semantics: Science, Services and Agents on the World Wide Web. Volume 4, Issue 4, December 2006, Pages 237-242.

Trust is an integral component in many kinds of human interaction, allowing people to act under uncertainty and with the risk of negative consequences. For example, exchanging money for a service, giving access to your property, and choosing between conflicting sources of information all may utilize some form of trust. In computer science, trust is a widely used term whose definition differs among researchers and application areas. Trust is an essential component of the vision for the Semantic Web, where both new problems and new applications of trust are being studied. This paper gives an overview of existing trust research in computer science and the Semantic Web.

A survey of trust in computer science and the Semantic Web. Donovan Artz and Yolanda Gil. Web Semantics: Science, Services and Agents on the World Wide Web. Volume 5, Issue 2, June 2007, Pages 58-71

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