Indoor data management

Hua Lu, Muhammad Aamir Cheema

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have been designed only for outdoor space. This is mainly because the global positioning system (GPS) and other positioning technologies cannot accurately identify the locations in indoor venues. Some recent initiatives have started to cross this technical barrier, promising huge future opportunities for research organizations, government agencies, technology giants, and enterprizing start-ups - to exploit the potential of indoor LBS. Consequently, indoor data management has gained significant research attention in the past few years and the research interest is expected to surge in the upcoming years. This will result in a broad range of indoor applications including emergency services, public services, in-store advertising, shopping, tracking, guided tours, and much more. In this tutorial, we first highlight the importance of indoor data management and the unique challenges that need to be addressed. Subsequently, we provide an overview of the existing research in indoor data management, covering modeling, cleansing, indexing, querying, and other relevant topics. Finally, we discuss the future research directions in this important and growing research area, discussing spatial-textual search, integrating outdoor and indoor spaces, uncertain indoor data, and indoor trajectory mining.
Original languageEnglish
Title of host publication32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016
Number of pages4
PublisherIEEE Computer Society Press
Publication date2016
ISBN (Electronic)9781509020201
Publication statusPublished - 2016
Externally publishedYes
Event32nd International Conference on Data Engineering (ICDE) - Helsinki, Finland
Duration: 16 May 201620 May 2016


Conference32nd International Conference on Data Engineering (ICDE)
Internet address

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