Query Processing in Location-Based Social Networks
Query Processing in Location-Based Social Networks
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DOI：
10.1145/3041021.3051145
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
Ammar Sohail;D. Taniar;Andreas Züfle;Jeong-Ho Park
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文献类型：
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作者：
Ammar Sohail;D. Taniar;Andreas Züfle;Jeong-Ho Park
位置获取技术和嵌入GPS的移动的设备的广泛普及导致了以前所未有的规模生成地理标记数据，并且基本上增强了与社交网络相关联的基于位置的服务中的用户体验。这种基于位置的社交网络允许人们记录和共享他们的位置，并且是丰富的信息源，其可以被利用来研究人们的各种属性和特征，并且可以提供各种地理社会（GS）服务。在这个演示中，我们提出了一种新的类型的查询称为Top-k地理社会（TGS）查询，它丰富了传统的空间查询的语义通过引入一个社会相关属性。类似地，用户制定他们的TGS查询，并通过基于浏览器的客户端界面查看结果。在服务器端，提出了三种方法，即1）社会优先，2）空间优先和3）混合有效地处理TGS查询。
The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people's various attributes and characteristics and can provide various Geo-Social (GS) services. In this demonstration, we propose a new type of query called Top-k Geo-Social (TGS) query, which enriches the semantics of the conventional spatial query by introducing a social relevance attribute. Similarly, users formulate their TGS queries and view the results through browser-based client side interface. On the server side, three approaches namely, 1) Social-First 2) Spatial-First and 3) Hybrid are proposed to efficiently process TGS queries.