IKAROS: An Indoor Keyword-Aware Routing System

Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)


As people spend large parts of their lives in indoor venues like shopping malls, airports, and office buildings, there are increasing demands of indoor keyword-aware routing, i.e., finding an indoor path that covers interesting keywords. In this work, we demonstrate an Indoor Keyword-Aware Routing System (IKAROS) which efficiently answers the indoor top-k keyword-aware routing query (IKRQ). Given two indoor points s and t, an IKRQ returns k s-to-t routes that do not exceed a given distance constraint but have optimal ranking scores integrating keyword relevance and spatial distance. To enable cross-platform IKRQ services for end-users, IKAROS adopts the Browser/Server system architecture. The browser provides the interface for users to specify queries and view the results, while the server manages the indoor spatial and textual information and processes queries. Specifically, IKAROS implements two search algorithms with different routing expansions through a tailored indoor space model. Our demonstration covers the major system components such as configuring a query's parameters, choosing a query search algorithm, and visualizing the returned route.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022
Number of pages4
ISBN (Electronic)9781665408837
ISBN (Print)9781665408844
Publication statusPublished - May 2022
Event38th IEEE International Conference on Data Engineering, ICDE 2022 - Virtual, Kuala Lumpur, Malaysia
Duration: 9 May 202212 May 2022

Publication series

NameProceedings - International Conference on Data Engineering (ICDE)
ISSN (Print)1063-6382
ISSN (Electronic)2375-026X


Conference38th IEEE International Conference on Data Engineering, ICDE 2022
CityKuala Lumpur
Internet address

Scopus Subject Areas

  • Software
  • Signal Processing
  • Information Systems


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