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+ ''Semantic Mediation System - May 10, 2003, SDSC'' |
+ |
+ !! Participants |
+ * Bertram Ludaescher |
+ * Shawn Bowers |
+ * Joseph Goguen |
+ * Mark Schildhauer |
+ * Matt Jones |
+ * Trevor Paterson |
+ * Jessie Kennedy |
+ * Dave Vieglais |
+ * Arcot Rajasekar |
+ * Jenny Wang |
+ * Liying Sui |
+ * Victor Vianu |
+ * Dave Stockwell |
+ * Ferdinando Villa |
+ * Chad Berkley |
+ * Rich Williams |
+ |
+ |
+ |
+ !! Notes from Ludaescher Overview of SMS |
+ * See slides for his presentation |
+ |
+ * Goguen: notes that we don't want to expose OWL or XML Schema directly to users, need a UI tool for them to create and interact with Ontologies |
+ * Ludaescher: Need example of more complex data type conversions (e.g., abundance to occurence, density to occurence, abundance/area to density) |
+ * Ludaescher: Gene Ontology is good example but simple, some difficulty with more advanced usages |
+ * Jones: GO experience highlights difficulties of generating ontologies in a community |
+ * Ludaescher: OWL Lite, OWL DL, and OWL Full are primary candidates, need to discuss wrt requirements |
+ * Kennedy: How does SMS integrate with taxonomy name server? Can they share some infrastructure? |
+ * Villa: Other system components will be able to use it too, e.g., place name resolution |
+ * Villa: We'll need to compile a list of relevant applications of SMS to SEEK |
+ |
+ !! Vianu: XML Schema and validation |
+ * See slides for the presentation |
+ |
+ |
+ * tree automata theory can be applied to various scheam transformation |
+ * applicable to static analysis for step integration and data integration |
+ * see NASA Amphion for planning transformations |
+ |
+ !! Wang: Integration of Heterogeneous XML Data |
+ * see slides for the presentation |
+ |
+ * demonstrated DDXMI system for integrating XML data from different document types based on a user-generated mapping to a global DTD |
+ |
+ |
+ !!! KR |
+ |
+ !! KR tasks |
+ # prototype unit conversion reasoning and query approaches (Ludaescher, Berkley) |
+ # generate working example/use case of unit conversion (how it fits with browsers) |
+ # generate examples of semantic type info for species prediction pipeline(s) |
+ # generate examples of semantic types based on metadata stored in EML (focused on productivity) |
+ # model (formalize) the "semantic type" discussion |
+ # develop (alpha) ontology to use in tagging "semantic types" for our case studies |
+ # prototype "smart query" based on ontology expansion/thesauri function |
+ # Generate complete EML descriptions of real data with appropriate unitDictionary and semantic type labels for attributes |
+ |
+ !! Ecogrid tasks |
+ # Develop GRID service interface that extends current query to include the "smart discovery" feature |
+ |
+ !! Taxon tasks |
+ # Resolve where taxonomy name resolution servive fits in with KR and SMS |
+ ("aboveground biomass" implies you are working with plants) |
+ |
+ |
+ |
+ |