Locating Mapped Resources in Web 2.0

Abstract-- Mapping mashups are emerging Web 2.0 applications in which data objects such as blogs, photos and videos from different sources are combined and marked in a map using APIs that are released by online mapping solutions such as Google and Yahoo Maps. These objects are typically associated with a set of tags capturing the embedded semantic and a set of coordinates indicating their geographical locations. Traditional web resource searching strategies are not effective in such an environment due to the lack of the gazetteer context in the tags. Instead, a better alternative approach is to locate an object by tag matching. However, the number of tags associated with each object is typically small, making it difficult for an object to capture the complete semantics in the query objects. In this paper, we focus on the fundamental application of locating geographical resources and propose an efficient tagcentric query processing strategy. In particular, we aim to find a set of neares...

• Type: Conference
• Year: 2010
• Where: ICDE
• Authors: Anthony K. H. Tung, Beng Chin Ooi, Dongxiang Zhang
• Keywords: Data Objects, Database, ICDE 2010, Nearest Co-located Objects, Query Tags