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AGU 2011, IN51D-04 December 9, 2011

Information Model Driven Semantic Framework Architecture and Design for Distributed Data Repositories. AGU 2011, IN51D-04 December 9, 2011. Peter Fox (RPI) pfox@cs.rpi.edu Tetherless World Constellation. Thanks to the SESF team: Patrick West,

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AGU 2011, IN51D-04 December 9, 2011

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  1. Information Model Driven Semantic Framework Architecture and Design for Distributed Data Repositories AGU 2011, IN51D-04 December 9, 2011 Peter Fox (RPI) pfox@cs.rpi.edu Tetherless World Constellation. Thanks to the SESF team: Patrick West, Eric Rozell, Stephan Zednik, Han Wang, Rajashree Deka, Linyun Fu, Deborah McGuinness and Jim Hendler …

  2. There are many words… • Information models • Why frameworks and not systems? • Architecture and design factors • The distributed part of it.. • Bringing it all together - framework semantics – integration and configuration • Some models • A role for participation Tetherless World Constellation

  3. Data-Information-Knowledge Ecosystem Producers Consumers Experience Data Information Knowledge Creation Gathering Presentation Organization Integration Conversation Curators Context

  4. Prior to 2005, we built systems • Rough definitions • Systems have very well-define entry and exit points. A user tends to know when they are using one. Options for extensions are limited and usually require engineering • Frameworks have many entry and use points. A user often does not know when they are using one. Extension points are part of the design • Platforms are built on frameworks Tetherless World Constellation

  5. Architecture • Definition: • “is the art of expressing a model or concept of information used in activities that require explicit details of complex systems” (wikipedia) • “… I mean architect as in the creating of systemic, structural, and orderly principles to make something work - the thoughtful making of either artifact, or idea, or policy that informs because it is clear.” Wuman

  6. “Information architecture is the categorization of information into a coherent structure, preferably one that the most people can understand quickly, if not inherently. • It's usually hierarchical, but can have other structures, such as concentric or even chaotic.” (wikipedia)

  7. Design… important? • Factors: primary are 1) web and 2) object • Why so obsessed with information and not knowledge, or data? • It’s about the humans, as mediators of the knowledge (and data…)

  8. Information modeling • Conceptual models, sometimes called domain models, are typically used to explore domain concepts and often created • as part of initial requirements envisioning efforts as they are used to explore the high-level static business or science or medicine structures and concepts • as the precursor to logical models or as alternatives to them • Followed by logical and physical models • Introduced in ANSI processes in 1978!

  9. A logical model is provable in the mathematics of data science. E.g. for relational databases, logical models generally conform to relational theory. • Thus a logical model contains only fully normalized entities. Some of these may represent logical domains rather than, for e.g. potential physical tables.

  10. Art or skill? • Form follows function (Sullivan) – this was put into effect in building structures, e.g. homes? • Based on information theory and semiotics, it should be clear that the answer (art/skill?) is ‘yes’ (both) • Now, remember this..

  11. Summary Tetherless World Constellation

  12. Summary Tetherless World Constellation

  13. “A” framework Tetherless World Constellation

  14. IMs –> form and function

  15. Application integration semantics Widget: a user interface element that visualizes results of S2S queries and facilitates user input (i.e., parameter selection) Parameter: an input to S2S queries for requesting specific results Service: an OpenSearch- described resource that supports S2S queries Query: a GET or POST service with parameters defined as S2S parameters

  16. Product Quality IM

  17. Information models evolve ontologies • VSTO -> Solar-Terrestrial Obs. & Meas. (ISO based) Tetherless World Constellation

  18. Participation • We have many information models (most make it into ontologies) • They are an excellent means to integrate domain ‘knowledge’ … ooopppsss … information • Allow discourse and consensus development • Ours are scoped using use cases • This means … you may be asked to participate • Please do! Tetherless World Constellation

  19. Further Information • http://tw.rpi.edu/web/project/SESF • NSF/OCI STCI 0943761 (ARRA) • Contacts: • pfox@cs.rpi.edu, @taswegian • westp@rpi.edu • rozele@rpi.edu • zednis@rpi.edu • dlm@cs.rpi.edu • hendler@cs.rpi.edu Tetherless World Constellation

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