seattle[1]2009 International Workshop on Location Based Social Networks (LBSN¡¯09)

Nov. 3, 2009, Seattle, WA, USA

Held in conjunction with the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

 

seattle[1]

                                              

 

 

 

 

 

News

        This workshop has been featured on Microsoft Research website, see ¡°Location-Based Social Networks Take Off¡± (Dec. 10, 2009).

        Workshop papers have been put into the ACM digital library (Nov. 22, 2009).

        Links to presentation slides have been added to the program schedule (Nov. 12, 2009).

        This workshop has been mentioned as ¡°the most successful workshop¡± in the ACM SIGSPATIAL GIS 2009 conference (Nov. 4, 2009).

        The following paper has been decided as the final best paper award winner (Nov. 3, 2009).

¨¹  Chih-Chieh Hung, Chih-Wen Chang and Wen-Chih Peng. Mining Trajectory Profiles for Discovering User Communities

        Session chair information has been updated in the program schedule (Oct. 22, 2009).

        The following papers have been nominated as best paper candidates. The final winner will be decided at the end of workshop. (Oct. 19, 2009)

¨¹  Chih-Chieh Hung, Chih-Wen Chang and Wen-Chih Peng. Mining Trajectory Profiles for Discovering User Communities

¨¹  Kazuki Kodama, Yuichi Iijima, Xi Guo and Yoshiharu Ishikawa. Skyline Queries Based on User Locations and Preferences for Making Location-Based Recommendations

¨¹  Hassan Karimi, Benjamin Zimmerman, Alper Ozcelik and Duangduen Roongpiboonsopit. SoNavNet: A Framework for Social Navigation Networks

        Program schedule have been posted here (Oct. 13, 2009).

        Camera ready instructions have been posted here (Sep. 21, 2009).

        Accepted papers have been posted here (Sep. 15, 2009).

        In order to ensure the quality of review process, we decide to change the author notification date to Sep. 14, 2009

        Paper submission deadline has been extended to Aug. 26, 2009 (11:59 PM PDT)

        LBSN¡¯09 workshop Call For Papers has been posted. Please download it here. (Jun. 5, 2009)

 

Aim and Scope

Social networking services have become extremely popular in recent years, especially for young people. However, they are still rooted in the virtual world. People usually need to sit behind a desktop computer to upload photos, write blogs and communicate with friends. The development of wireless networks and location sensing technologies have made it easier to track and share personal location information on the fly. By adding a location dimension, we can bring social networking back from the virtual world into real life and allow real-life experiences to be shared in a more convenient way. We define Location Based Social Networks (LBSN) as social network services where people can track and share location related information with each other, via either mobile or desktop computers. As location is one of the most important aspects for people¡¯s everyday lives, a lot of novel application scenarios can be supported by LBSN. For example, we can collect and share more trustworthy location recommendations within LBSN and use them to rank interesting locations, discover new places, people and activities.

The objective of this workshop is to provide a single forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in emerging innovative research for location based social networks.

 

Topics of Interest

Topics of interest include, but are not limited to the following aspects of location based social networks:

        Spatial data mining and knowledge discovery

        Personal location/trajectory data mining

        Spatial query log mining

        Geo-tagged multimedia mining

        Opinion mining for location related information

        Spatial data indexing

        Hybrid index for spatial, textual and multimedia data

        Index for moving objects

        Location based social network analysis

        Geographical information extraction and retrieval

        Spatial data acquisition and pre-processing

        Spatial data visualization and computer human interface

        Location privacy, data sharing and security

        Navigation and traffic prediction

        Systems, architectures and middleware

 

Submission

We seek three kinds of submissions related to location based social networks:

        Full research papers ¨C up to 8 pages

        Vision papers and short technical papers - up to 4 pages

        Demo papers ¨C up to 2 pages

Authors are invited to submit full, original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted in PDF format and formatted using the ACM camera-ready templates available at:

http://www.acm.org/sigs/pubs/proceed/template.html 

Papers must be submitted electronically, via the submission website on or before the submission deadline. All accepted papers will be included in the ACM digital library.

 

Important Dates

Paper submission: Aug. 26, 2009 (11:59 PM PDT)

Notification of acceptance: Sep. 14, 2009

Camera-ready copies due:  Sep. 28, 2009

Workshop date: Nov. 3, 2009

 

General Chair

Xiaofang Zhou, University of Queensland (Australia)

Program Chair

Xing Xie, Microsoft Research Asia (China)

Local Chair

Gang Guan, Microsoft Research Asia (China)

Program Committee

Xin Chen, NAVTEQ (USA)

Bin Jiang, University of Gavle (Sweden)

Marek Kowalkiewicz, SAP Research (Australia)

Wang-Chien Lee, Pennsylvania State University (USA)

Iqbal Mohomed, Microsoft Research (USA)

Sung Hyon Myaeng, Korea Advanced Institute of Science and Technology (Korea)

Yanwei Pang, Tianjin University (China)

Wen-Chih Peng, National Chiao Tung University (Taiwan)

Kazutoshi Sumiya, University of Hyogo (Japan)

Qiang Yang, Hong Kong University of Science and Technology (Hong Kong)

Nenghai Yu, University of Science and Technology of China (China)

Yang Yue, Wuhan University (China)

 

Contact Information

For enquiries and further information, please contact:

Xing Xie (xingx at microsoft.com)

Xiaofang Zhou (zxf at itee.uq.edu.au)

Gang Guan (gguan at Microsoft.com)