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SMS Meeting Notes_10_May_2003

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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)
+
+
+
+

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