Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects

Date Added: Aug 2009
Format: PDF

The conventional Internet is acquiring a geo-spatial dimension. Web documents are being geo-tagged, and geo-referenced objects such as points of interest are being associated with descriptive text documents. The resulting fusion of geo-location and documents enables a new kind of top-k query that takes into account both location proximity and text relevancy. To the authors' knowledge, only naive techniques exists those are capable of computing a general web information retrieval query while also taking location into account.