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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 |
| + |
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| + !! 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 |
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| + |
| + * 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 |
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| + |
| + !!! 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) |
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