Towards Semantic Search in Building Metadata
Pandey, Akshat, Computer Science - School of Engineering and Applied Science, University of Virginia
Wang, Hongning, Department of Computer Science, University of Virginia
This report presents the design of a search engine that can be used to search across internet-of-things sensor data and metadata in the context of building management. Search engines are most commonly used to allow humans to retrieve relevant web-pages from the internet given a natural language query. The system presented here also takes natural language queries as input but instead of returning web-pages, its primary function is to return visualizations of time-series data in the form of line charts. The system also allows users the ability to name visually-defined phenomena in the returned line charts and search across sensor data for similar data shapes.
MS (Master of Science)
Information Retrieval, Intelligent Building, Smart Building, Internet of Things, IOT, Search Engine