UMBC ebiquity

A framework for collaborative data gathering

Description: The popularity of Internet-enabled mobile technology allows people to participate in many data gathering tasks such as making scientific observation, responding to regional polls, and collecting location-specific information such as parking availability and road conditions. We describe initial work on a prototype and framework to support applications requiring collaborative data gathering and an awareness of a mobile device user's context. The framework uses Semantic Web languages to represent and reason about mobile sensor data, user context, and user preferences.

Type: Poster

Authors: Tejas Lagvankar, Joel Sachs, and Tim Finin

Date: May 30, 2010

Tags: mobile computing, context, semantic web

Format: Microsoft PowerPoint (Need a reader? Get one here)

Number of downloads: 364

Access Control: Publicly Available

 

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Assertions:

  1. (Resource) A framework for collaborative data gathering Outside Work is related to (Project) Spire