Dissertation Talk: Context and Interaction in the Internet of Things

Seminar | May 15 | 3-4 p.m. | 540AB Cory Hall

 Matt Weber, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

Future IoT killer apps leveraging ubiquitous sensors and actuators will create value in emergent properties of composition and contextual awareness. This talk focuses on two key aspects of principled IoT design: (1) using contextual information from the physical world, and (2) enabling interaction and composition across distributed cyber physical systems. These challenges are mutually intertwined. Acquiring contextual information about the world (1) usually involves building applications to coordinate device interaction (2). Similarly, the decision an application makes about which sensors and actuators to interact with (2) should be governed by contextual information (1).

In this talk I will present research in both directions: I propose semantic localization, a logical language as the interface between spatial modeling and spatial programming. I will present the accessors platform as a framework for building dynamic swarm applications, and give an architecture for connected car service discovery with semantic accessors. I will show how ontology matching accessors may be used to enhance distributed cyber physical system interaction. Finally, I will give an SMT solving algorithm for spatial ontology verification in sensor networks.

 matt.weber@berkeley.edu