Demonstrating spindra

A geographic knowledge graph management system

Yuhan Sun, Jia Yu, Mohamed Elsayed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Knowledge Graphs are widely used to store facts about real-world entities and events. With the ubiquity of spatial data, vertexes or edges in knowledge graphs can possess spatial location attributes side by side with other non-spatial attributes. For instance, as of June 2018 the Wikidata knowledge graph contains 48; 547; 142 data items (i.e., vertexes) to date and ≈13% of them have spatial location attributes. The co-existence of the graph and spatial data in the same geographic knowledge graph allows users to search the graph with local intent. Many location-based services such as UberEats, GrubHub, and Yelp already employ similar knowledge graphs to enhance the location search experience for their end-users. In this paper, we demonstrate a system, namely Spindra, that provides efficient management of geographic knowledge graphs. We demonstrate the system using an interactive map-based web interface that allows users to issue location-aware search queries over the WikiData knowledge graph. The Front end will then visualize the returned geographic knowledge to the user using OpenStreetMaps.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019
PublisherIEEE Computer Society
Pages2044-2047
Number of pages4
ISBN (Electronic)9781538674741
DOIs
StatePublished - Apr 1 2019
Event35th IEEE International Conference on Data Engineering, ICDE 2019 - Macau, China
Duration: Apr 8 2019Apr 11 2019

Publication series

NameProceedings - International Conference on Data Engineering
Volume2019-April
ISSN (Print)1084-4627

Conference

Conference35th IEEE International Conference on Data Engineering, ICDE 2019
CountryChina
CityMacau
Period4/8/194/11/19

Fingerprint

Location based services

Keywords

  • Graph search
  • Index
  • Knowledge graph
  • Spatial data

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Sun, Y., Yu, J., & Elsayed, M. (2019). Demonstrating spindra: A geographic knowledge graph management system. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 2044-2047). [8731539] (Proceedings - International Conference on Data Engineering; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ICDE.2019.00235

Demonstrating spindra : A geographic knowledge graph management system. / Sun, Yuhan; Yu, Jia; Elsayed, Mohamed.

Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, 2019. p. 2044-2047 8731539 (Proceedings - International Conference on Data Engineering; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sun, Y, Yu, J & Elsayed, M 2019, Demonstrating spindra: A geographic knowledge graph management system. in Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019., 8731539, Proceedings - International Conference on Data Engineering, vol. 2019-April, IEEE Computer Society, pp. 2044-2047, 35th IEEE International Conference on Data Engineering, ICDE 2019, Macau, China, 4/8/19. https://doi.org/10.1109/ICDE.2019.00235
Sun Y, Yu J, Elsayed M. Demonstrating spindra: A geographic knowledge graph management system. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society. 2019. p. 2044-2047. 8731539. (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2019.00235
Sun, Yuhan ; Yu, Jia ; Elsayed, Mohamed. / Demonstrating spindra : A geographic knowledge graph management system. Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, 2019. pp. 2044-2047 (Proceedings - International Conference on Data Engineering).
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