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Open AccessArticle

Modeling and Querying Moving Objects with Social Relationships

1,2, 1,2,3,* and 4
State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Author to whom correspondence should be addressed.
Academic Editors: Georg Gartner, Haosheng Huang and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(7), 121;
Received: 23 April 2016 / Revised: 5 July 2016 / Accepted: 8 July 2016 / Published: 15 July 2016
(This article belongs to the Special Issue Location-Based Services)
PDF [1310 KB, uploaded 15 July 2016]


Current moving-object database (MOD) systems focus on management of movement data, but pay less attention to modelling social relationships between moving objects and spatial-temporal trajectories in an integrated manner. This paper combines moving-object database and social network systems and presents a novel data model called Geo-Social-Moving (GSM) that enables the unified management of trajectories, underlying geographical space and social relationships for mass moving objects. A bulk of user-defined data types and corresponding operators are also proposed to facilitate geo-social queries on moving objects. An implementation framework for the GSM model is proposed, and a prototype system based on native Neo4J is then developed with two real-world data sets from the location-based social network systems. Compared with solutions based on traditional extended relational database management systems characterized by time-consuming table join operations, the proposed GSM model characterized by graph traversal is argued to be more powerful in representing mass moving objects with social relationships, and more efficient and stable for geo-social querying. View Full-Text
Keywords: moving objects; social network; data model; graph database; geo-social querying moving objects; social network; data model; graph database; geo-social querying

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Zhang, H.; Lu, F.; Xu, J. Modeling and Querying Moving Objects with Social Relationships. ISPRS Int. J. Geo-Inf. 2016, 5, 121.

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