{"id":152810,"date":"2005-02-01T00:00:00","date_gmt":"2005-02-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/web-enhanced-gps\/"},"modified":"2018-10-16T20:17:10","modified_gmt":"2018-10-17T03:17:10","slug":"web-enhanced-gps","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/web-enhanced-gps\/","title":{"rendered":"Web-Enhanced GPS"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the application at hand. This deployment cost reduces the initial appeal of such services. However, there is much location-tagged data already available on the Web which can be easily used to create compelling location-aware applications with almost no deployment cost. Such tagged data can be used directly in applications as well as to provide evidence in models of ac-tivity. We describe three applications that take advantage of existing Web data combined with location measurements from a GPS receiver. The first applica-tion, \u201cPinpoint Search\u201d, finds web pages of nearby places based on GPS coor-dinates, queries from a Web mapping service, and general Web searches. The second application, \u201cXRay\u201d, uses the mapping service to find businesses in a building by pointing a GPS-equipped electronic compass at the building. The third application is called \u201cTravelogue\u201d, and it builds a map and clickable points of interest to help automatically annotate a trip based on GPS coordinates. Finally, we discuss the use of Web-based data as rich sources of evidence for probabilistic models of a user\u2019s activity, including a means for interpreting the explanation for the loss of Web signals as users enter structures.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the application at hand. This deployment cost reduces the initial appeal of such services. However, there is much location-tagged data already available on the Web which can be easily used to create compelling location-aware applications [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2005-16","msr_organization":"","msr_pages_string":"10","msr_page_range_start":"10","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Ramaswamy 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