Reducing Maintenance Complexity of User-centric Web Portrayal Services

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Presentation transcript:

Reducing Maintenance Complexity of User-centric Web Portrayal Services An alternate approach to web-based 3D Geodata Portrayal Authors: Simon Thum and Michel Krämer Simon Thum Fraunhofer-Institut für Graphische Datenverarbeitung IGD Fraunhoferstraße 5 64283 Darmstadt Tel +49 6151 155 – 581 simon.thum@igd.fraunhofer.de www.igd.fraunhofer.de

Application opportunities Motivation Our Approach Where it fits in Why it‘s different Specific constraints Our Solution Characteristics Outlook Comparison Application opportunities Simon Thum: Reducing Maintenance Complexity ...

MOTIVATION Simon Thum: Reducing Maintenance Complexity ...

MOTIVATION Simon Thum: Reducing Maintenance Complexity ...

Portrayal complexity Simon Thum: Reducing Maintenance Complexity ...

User-centric portrayal Better matches specific user demands Less knowledge in the client Increased ability to adapt to acquisition idiosyncrases Heterogenous, non-othogonal source data Does not depend on spatial or semantic partitioning (overlap) Less/no need for preprocessing Always up-to-date More a-priori knowledge in the portrayal service Less client-side control Run-time Overhead Requires known datasource-wide identifiers

Data flow Source Select Render & Display Display Element G. End-User Data Specialist Simon Thum: Reducing Maintenance Complexity ...

Scenarios A Scenario is the central unit in our approach Map to actual use cases More technically: Coinciding portrayal requirements Defined as a set of portrayal rules and their parameters Constrain the anticipated portrayal problems we might need to solve Enable the IR approach Simon Thum: Reducing Maintenance Complexity ...

Information Item Representations Decomposition Portrayal Scenario Requirements Information Items Information Item Representations Simon Thum: Reducing Maintenance Complexity ...

Intermediate Representation Explosion of interdependencies

Intermediate Representation The IR is canonical information required to solve portrayal problems

Data heterogenity or „Fitness for Portrayal“ From information item representations to an IR item Correlate sum Category Sufficiency Solution implicit insufficient ambient knowledge [0..1[ partially sufficient Inference (perhaps incuding ambient knowledge) 1 explicit completely sufficient n/a > 1 arbitration Simon Thum: Reducing Maintenance Complexity ...

Summary Knowledge about data sources is shifted closer to them Client needs less knowledge Scalable way to express and solve portrayal problems Achieved by separating the concern of heterogenity Less reliance on preprocessing The approach has been tested at the local level but should scale nicely Doesn‘t fit well with client-driven approaches Simon Thum: Reducing Maintenance Complexity ...

Thanks for your attention! May I answer questions? Simon Thum Fraunhofer-Institut für Graphische Datenverarbeitung IGD Fraunhoferstraße 5 64283 Darmstadt Tel +49 6151 155 – 581 simon.thum@igd.fraunhofer.de www.igd.fraunhofer.de