TY - GEN
T1 - Verification of POI and location pairs via weakly labeled web data
AU - Chuang, Hsiu Min
AU - Chang, Chia Hui
PY - 2015/5/18
Y1 - 2015/5/18
N2 - With the increased popularity of mobile devices and smart phones, location-based services (LBS) have become a common need in our daily life. Therefore, maintaining the correctness of POI (Points of Interest) data has become an important issue for many location-based services such as Google Maps and Garmin navigation systems. The simplest form of POI contains a location (e.g., represented by an address) and an identifier (e.g., an organization name) that describes the location. As time goes by, the POI relationship of a location and organization pair may change due to the opening, moving, or closing of a business. Thus, effectively identifying outdated or emerging POI relations is an important issue for improving the quality of POI data. In this paper, we examine the possibility of using location-related pages on the Web to verify existing POI relations via weakly labeled data, e.g., the co-occurrence of an organization and an address in Web pages, the published date of such pages, and the pairing diversity of an address or an organization, etc. The preliminary result shows a promising direction for discovering emerging POI and mandates more research for outdated POI.
AB - With the increased popularity of mobile devices and smart phones, location-based services (LBS) have become a common need in our daily life. Therefore, maintaining the correctness of POI (Points of Interest) data has become an important issue for many location-based services such as Google Maps and Garmin navigation systems. The simplest form of POI contains a location (e.g., represented by an address) and an identifier (e.g., an organization name) that describes the location. As time goes by, the POI relationship of a location and organization pair may change due to the opening, moving, or closing of a business. Thus, effectively identifying outdated or emerging POI relations is an important issue for improving the quality of POI data. In this paper, we examine the possibility of using location-related pages on the Web to verify existing POI relations via weakly labeled data, e.g., the co-occurrence of an organization and an address in Web pages, the published date of such pages, and the pairing diversity of an address or an organization, etc. The preliminary result shows a promising direction for discovering emerging POI and mandates more research for outdated POI.
KW - Crowdsourcing
KW - Geographic information retrieval
KW - Location-based service
KW - Semi-supervised learning
KW - Weakly labeled data
UR - http://www.scopus.com/inward/record.url?scp=84968542746&partnerID=8YFLogxK
U2 - 10.1145/2740908.2741715
DO - 10.1145/2740908.2741715
M3 - 會議論文篇章
AN - SCOPUS:84968542746
T3 - WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
SP - 743
EP - 748
BT - WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
PB - Association for Computing Machinery, Inc
T2 - 24th International Conference on World Wide Web, WWW 2015
Y2 - 18 May 2015 through 22 May 2015
ER -