Online Archive of University of Virginia Scholarship
Towards Semantic Search in Building Metadata248 views
Author
Pandey, Akshat, Computer Science - School of Engineering and Applied Science, University of Virginia
Advisors
Wang, Hongning, Department of Computer Science, University of Virginia
Abstract
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.
Degree
MS (Master of Science)
Keywords
Information Retrieval; Intelligent Building; Smart Building; Internet of Things; IOT; Search Engine
Pandey, Akshat. Towards Semantic Search in Building Metadata. University of Virginia, Computer Science - School of Engineering and Applied Science, MS (Master of Science), 2019-04-18, https://doi.org/10.18130/v3-xb0r-wk37.
