| 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: 125 Access Control: Publicly Available Available for download as
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