Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 26th International Conference on World Wide Web |
| Editors | Eugene Agichtein, Evgeniy Gabrilovich |
| Place of Publication | Geneva Switzerland |
| Publisher | International World Wide Web Conferences Steering Committee |
| Pages | 1379-1381 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450349147 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | International World Wide Web Conference 2017 - Perth Convention and Exhibition Centre (PCEC), Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017 Conference number: 26th http://www2017.com.au/ http://www.www2017.com.au/ |
Conference
| Conference | International World Wide Web Conference 2017 |
|---|---|
| Abbreviated title | WWW 2017 |
| Country | Australia |
| City | Perth |
| Period | 3/04/17 → 7/04/17 |
| Internet address |
Keywords
- Geographic information systems
- Geosocial Networking
- Geosocial query
- Graph database
- Social Networks
- Spatio-Social Applications
Cite this
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Query processing in location-based social networks. / Sohail, Ammar; Taniar, David; Züfle, Andreas; Jeong-Ho, Park.
Proceedings of the 26th International Conference on World Wide Web. ed. / Eugene Agichtein; Evgeniy Gabrilovich. Geneva Switzerland : International World Wide Web Conferences Steering Committee, 2017. p. 1379-1381.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Query processing in location-based social networks
AU - Sohail, Ammar
AU - Taniar, David
AU - Züfle, Andreas
AU - Jeong-Ho, Park
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Geographic information systems
KW - Geosocial Networking
KW - Geosocial query
KW - Graph database
KW - Social Networks
KW - Spatio-Social Applications
UR - http://www.scopus.com/inward/record.url?scp=85054510204&partnerID=8YFLogxK
U2 - 10.1145/3041021.3051145
DO - 10.1145/3041021.3051145
M3 - Conference Paper
SP - 1379
EP - 1381
BT - Proceedings of the 26th International Conference on World Wide Web
A2 - Agichtein, Eugene
A2 - Gabrilovich, Evgeniy
PB - International World Wide Web Conferences Steering Committee
CY - Geneva Switzerland
ER -