TY - GEN
T1 - Enhancing search in a geospatial multimedia annotation system
AU - Quach, Huynh Nhu Hop
AU - Goh, Dion Hoe Lian
AU - Razikin, Khasfariyati
AU - Pham, Tan Phat
AU - Kim, Thi Nhu Quynh
AU - Theng, Yin Leng
AU - Lim, Ee Peng
AU - Chang, Chew Hung
AU - Chatterjea, Kalyani
AU - Sun, Aixin
PY - 2010
Y1 - 2010
N2 - The development of numerous information sharing platforms have led to the emergence of multimedia user-generated content. With the prevalence of networking mobile devices and Global Positioning System (GPS) functionality, these contents could also be tagged with their location (geo-tagged) and visualised on a map through a geospatial information system. This in turn raises new challenges to manage the information retrieval process due to the potentially large amounts of data presented on the map. In this paper, we present a spatial clustering approach to enhance the searching feature of MobiTOP, a geospatial annotation system. The technique, which is a modification of DBSCAN (Density based spatial clustering applications with noise) coupled with our ranking schemes, is compared against other techniques. The evaluation results suggest the viability of our approach, and implications are also discussed.
AB - The development of numerous information sharing platforms have led to the emergence of multimedia user-generated content. With the prevalence of networking mobile devices and Global Positioning System (GPS) functionality, these contents could also be tagged with their location (geo-tagged) and visualised on a map through a geospatial information system. This in turn raises new challenges to manage the information retrieval process due to the potentially large amounts of data presented on the map. In this paper, we present a spatial clustering approach to enhance the searching feature of MobiTOP, a geospatial annotation system. The technique, which is a modification of DBSCAN (Density based spatial clustering applications with noise) coupled with our ranking schemes, is compared against other techniques. The evaluation results suggest the viability of our approach, and implications are also discussed.
KW - Geospatial annotation system
KW - Geospatial clustering
KW - Information
UR - http://www.scopus.com/inward/record.url?scp=79956004488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79956004488&partnerID=8YFLogxK
U2 - 10.1145/1967486.1967582
DO - 10.1145/1967486.1967582
M3 - Conference contribution
AN - SCOPUS:79956004488
SN - 9781450304214
T3 - iiWAS2010 - 12th International Conference on Information Integration and Web-Based Applications and Services
SP - 617
EP - 624
BT - iiWAS2010 - 12th International Conference on Information Integration and Web-Based Applications and Services
T2 - 12th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2010
Y2 - 8 November 2010 through 10 November 2010
ER -