TY - GEN
T1 - Demonstrating spindra
T2 - 35th IEEE International Conference on Data Engineering, ICDE 2019
AU - Sun, Yuhan
AU - Yu, Jia
AU - Elsayed, Mohamed
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
KW - Graph search
KW - Index
KW - Knowledge graph
KW - Spatial data
UR - http://www.scopus.com/inward/record.url?scp=85067998965&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067998965&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2019.00235
DO - 10.1109/ICDE.2019.00235
M3 - Conference contribution
AN - SCOPUS:85067998965
T3 - Proceedings - International Conference on Data Engineering
SP - 2044
EP - 2047
BT - Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019
PB - IEEE Computer Society
Y2 - 8 April 2019 through 11 April 2019
ER -