ABSTRACT
This chapter provides details of search infrastructure technologies suitable for obtaining and indexing observations from a plethora of diverse Internet of Things (IoT)-connected sensors. It shows how physical sensor information and socially-sensed information – combined with such technologies – can be adapted for tasks such as local event retrieval, event topic identification and venue recommendations. The chapter discusses the outlook for the field and some interesting future directions and applications for IoT technologies in the search domain. The edge node knowledge base content is stored as series of collection files that can be indexed by the search layer. The application layer mainly supports developers who want to create Web 2.0 services or smart phone applications that exploit the framework capabilities. There is a wealth of research on identifying low-level human activities from acoustic and visual sensors.
