Towards Semantic Search in Building Metadata

Author:
Pandey, Akshat, Computer Science - School of Engineering and Applied Science, University of Virginia
Advisor:
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
Language:
English
Issued Date:
2019/04/18