I presented a poster about how can we use Semantic Web Technology to help building an information model and information system for National Climate Assessment (NCA). NCA is a report which integrates, evaluates, and interprets the findings of climate change and impacts on affected industries such as agriculture, natural environment, energy production and use, etc. One of the problem of building an information system for NCA is that NCA uses information from wide range of information sources and covered many climate related topic, this makes it difficult for users to find and identify information they needed. Using Semantic Web Technology, we created a well-structured ontology, where relationship between NCA-realted entities, concepts are well-defined. We also use other Semantic Technologies such as Prov-O, SPARQL-endpoints, and ontology-based facet browsers can to help solve the problem.
Overall, the presentation went well. Few people found particular interest on how we leverages GCMD keywords and Clean Vocabulary when building the information system for NCA, and what benefits can they bring to NCA report information system. Other people also found Facet Search System interesting, especially on applying it on the Geo-related data.
I also attended Semantic Web-related sessions. One of them was discussing how can we use Semantic Web Technology to help solving “Tool Match” problem. Using OWL ontology to encode the rules and concepts about tools and datasets, and then use description logic reasoners to perform Tool Match. Another one was giving tutorial on Semantic Web technology to the ESIP community. It is nice to see Semantic Web Technology really helps different communities to solve various problems and people are becoming more and more interested on this technology.