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The Context Fabric: An Infrastructure for Context-Aware Computing

The Context Fabric: An Infrastructure for Context-Aware Computing. Jason I. Hong Group for User Interface Research, Computer Science Division University of California, Berkeley Seungseok Kang. Introduction. Context The circumstance in which an event occurs

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The Context Fabric: An Infrastructure for Context-Aware Computing

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  1. The Context Fabric: An Infrastructure for Context-Aware Computing Jason I. Hong Group for User Interface Research, Computer Science Division University of California, Berkeley Seungseok Kang

  2. Introduction • Context • The circumstance in which an event occurs • The goals for context-aware computing • Increasing the number of input channels into computers • Pushing towards more implicit acquisition of data • Creating better models that can take advantage of this increased input • Using the increased input and improved models in new and useful ways • It is still extremely difficult to build context-aware applications

  3. Context Fabric • Context-aware infrastructure • Distribution, modeling, privacy, robustness • Design keys • A flexible and distributed data store to make it easy to model, store, and disseminate context data • A context specification language for declaratively stating and processing context needed • Reasonable and customizable privacy mechanisms to help protect context data about end-users

  4. Context Data Store • Logical context data model • A way of representing entities • People, places, things • Entities, attributes, relationships, aggregates • Physical data store • Where the context data is actually stored • Distribute the data • Context can exist in multiple places • Advantage • Decouples context acquisition from context modeling and context usage • Multiple applications can request and use the context data

  5. Context Specification Language • CSL • Declarative way of stating context needs at a high level • Providing a clean programming abstraction to the context data • SQL does for relational databases • Context service processes CSL statements • Queries: “How many people are in the room right now?”

  6. Privacy • Privacy issues • The most debated issue with respect to ubiquitous computing • Finding the right balance • The needs of individuals and the • The needs of governments and societies • Privacy in Context Fabric • Currently planning on implementing privacy mechanisms directly into infrastructure • Restricting context queries • Garbage collection • Intentional ambiguous answers

  7. Evaluation • Five dimensions for evaluations • To see if the data model is expressive • To learn if the C니 ispowerful • To ensure that the overall system is robust • To discover if we have enough useful mechanisms for privacy • To find out if the infrastructure makes it easier to develop context-aware applications • Method for evaluations • Iterative design process • Working out designs, implementing, building • Refining before going to the next iteration

  8. Related Work • Schilit’sParcTab system • First context-aware system infrastructure • Interactive Workspaces EventHeap • Connecting devices in a local room • Context Toolkit • “operating systems” approach • Hardware is primary, data formats and modeling is secondary

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