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Information Model Driven Semantic Framework Architecture and Design for Distributed Data Repositories AGU 2011, IN51D-04 December 9, 2011 Peter Fox (RPI)

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Presentation on theme: "Information Model Driven Semantic Framework Architecture and Design for Distributed Data Repositories AGU 2011, IN51D-04 December 9, 2011 Peter Fox (RPI)"— Presentation transcript:

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.edupfox@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 2Tetherless World Constellation

3 Data-Information-Knowledge Ecosystem 3 DataInformationKnowledge ProducersConsumers Context Presentation Organization Integration Conversation Creation Gathering Experience Curators

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 4

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.. 10

11 Summary DiscoveryInventoryDetail Tetherless World Constellation11 DiscoveryInventory ‘S2S’ Detail S-DAP Catalog Search Data

12 Summary DiscoveryInventoryDetail Tetherless World Constellation12 Faceted Browse Federated Smart Search Integration Fusion ‘ISO23950’ ‘OpenSearch’ ‘DAP’

13 “A” framework Tetherless World Constellation13

14 IMs –> form and function

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

16 Product Quality IM

17 Information models evolve ontologies VSTO -> Solar-Terrestrial Obs. & Meas. (ISO based) Tetherless World Constellation17

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 Constellation18

19 Further Information http://tw.rpi.edu/web/project/SESF NSF/OCI STCI 0943761 (ARRA) Contacts: –pfox@cs.rpi.edu, @taswegianpfox@cs.rpi.edu –westp@rpi.eduwestp@rpi.edu –rozele@rpi.edurozele@rpi.edu –zednis@rpi.eduzednis@rpi.edu –dlm@cs.rpi.edudlm@cs.rpi.edu –hendler@cs.rpi.eduhendler@cs.rpi.edu Tetherless World Constellation19


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