22

Semantic Information Extraction

David S. Friedlander

Defense Advanced Research Projects Agency

22.1    Introduction

22.2    Symbolic Dynamics

The Conversion of System Dynamics into Formal LanguagesDetermination of ε-Machines

22.3    Formal Language Measures

22.4    Behavior Recognition

22.5    Experimental Verification

22.6    Conclusions and Future Work

Acknowledgments and Disclaimer

References

22.1    Introduction

This chapter describes techniques for extracting semantic information from sensor networks and applying them to recognizing the behaviors autonomous vehicles based on their trajectories, and predicting anomalies in mechanical systems based on a network of embedded sensors.

Sensor networks generally observe systems that ...

Get Distributed Sensor Networks, 2nd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.