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Semantic Mediation System - May 10, 2003, SDSC
- 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
- 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
- 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
- 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
- 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
- Develop GRID service interface that extends current query to include the "smart discovery" feature
- Resolve where taxonomy name resolution servive fits in with KR and SMS
("aboveground biomass" implies you are working with plants)
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