Modeling and Querying Moving Objects with Social Relationships

Zhang, Hengcai; Lü, Feng; Xu, Jianqiu

doi:10.3390/ijgi5070121

Cited by 5 publications

(3 citation statements)

References 66 publications

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“…However, benefiting from the design of the proposed GSMNet model, it can be finely tuned to support the representation of other activity environments, such as indoor or geographical free spaces [38]. However, storing too much information through the attributes of nodes or edges will make the graphs overstaffed or redundant and cause performance degradation.…”

Section: Discussionmentioning

confidence: 99%

GSMNet: A Hierarchical Graph Model for Moving Objects in Networks

Zhang

Lü

2017

IJGI

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Abstract:Existing data models for moving objects in networks are often limited by flexibly controlling the granularity of representing networks and the cost of location updates and do not encompass semantic information, such as traffic states, traffic restrictions and social relationships. In this paper, we aim to fill the gap of traditional network-constrained models and propose a hierarchical graph model called the Geo-Social-Moving model for moving objects in Networks (GSMNet) that adopts four graph structures, RouteGraph, SegmentGraph, ObjectGraph and MoveGraph, to represent the underlying networks, trajectories and semantic information in an integrated manner. The bulk of user-defined data types and corresponding operators is proposed to handle moving objects and answer a new class of queries supporting three kinds of conditions: spatial, temporal and semantic information. Then, we develop a prototype system with the native graph database system Neo4Jto implement the proposed GSMNet model. In the experiment, we conduct the performance evaluation using simulated trajectories generated from the BerlinMOD (Berlin Moving Objects Database) benchmark and compare with the mature MOD system Secondo. The results of 17 benchmark queries demonstrate that our proposed GSMNet model has strong potential to reduce time-consuming table join operations an d shows remarkable advantages with regard to representing semantic information and controlling the cost of location updates.

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Section: Discussionmentioning

confidence: 99%

GSMNet: A Hierarchical Graph Model for Moving Objects in Networks

Zhang

Lü

2017

IJGI

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“…Moving queries are an important type of query of moving objects, asking for a set of objects that satisfy the spatial query constraints in a given time interval. The geosocial moving queries enlarge the query requests also to the variation in social relationships, in addition to the movements with spatial and temporal characteristics [63]. Three of the surveyed studies (5.26%) belong to this category of geosocial query (see Table 16).…”

Section: Geosocial Moving Queriesmentioning

confidence: 99%

Query Processing of Geosocial Data in Location-Based Social Networks

D’Ulizia

Grifoni

Ferri

2021

IJGI

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The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be managed and queried. In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over the last two decades (2000–2020). The result of our analysis shows the categories of geosocial queries proposed by the surveyed studies, the query primitives and the kind of access method used to retrieve the result of the queries, the common evaluation metrics and datasets used to evaluate the performance of the query processing methods, and the main open challenges that should be faced in the near future. Due to the ongoing interest in this research topic, the results of this survey are valuable to many researchers and practitioners by gaining an in-depth understanding of the geosocial querying process and its applications and possible future perspectives.

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“…To improve performance, the authors created a series of data structures, such as bridgeable edges and distance edges. Zhang, Lu, and Xu [14] combined moving object databases, and social network systems, and proposed a data model to integrate trajectories, their underlying geographical space, and their social relationships for constantly moving objects. A set of user-defined data types, and corresponding operators were proposed to facilitate geo-social queries of moving objects.…”

Section: Modelingmentioning

confidence: 99%

Current Trends and Challenges in Location-Based Services

Huang

Gärtner

2018

IJGI

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Location-based services (LBS) are a growing area of research. This editorial paper introduces the key research areas within the scientific field of LBS, which consist of positioning, modelling, communication, applications, evaluation, analysis of LBS data, and privacy and ethical issues. After that, 18 original papers are presented, which provide a general picture of recent research activities on LBS, especially related to the research areas of positioning, modelling, applications, and LBS data analysis. This Special Issue together with other recent events and publications concerning LBS show that the scientific field of LBS is rapidly evolving, and that LBS applications have become smarter and more ubiquitous in many aspects of our daily life.

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Modeling and Querying Moving Objects with Social Relationships

Cited by 5 publications

References 66 publications

GSMNet: A Hierarchical Graph Model for Moving Objects in Networks

GSMNet: A Hierarchical Graph Model for Moving Objects in Networks

Query Processing of Geosocial Data in Location-Based Social Networks

Current Trends and Challenges in Location-Based Services

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