Matching physical sites with Web sites for semantic localization

Rufeng Meng, Sheng Shen, Romit Roy Choudhury, Srihari Nelakuditi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Locations are often expressed in physical coordinates such as an [X; Y ] tuple in some coordinate system. Unfortunately, a vast majority of location-based applications desire the semantic translation of coordinates, i.e., store-names like Starbucks, Macy's, Panera. Past work has mostly focused on achieving localization accuracy, while assuming that the translation of physical to semantic coordinates will be done manually. In this paper, we explore an opportunity for automatic semantic localization - the presence of a website corresponding to each physical store. We propose to correlate the information seen in a physical store with that found in websites of the stores around that location, to recognize that store. Specifically, we assume a repository of crowdsourced WiFi-tagged pictures from different stores. By correlating words inside the pictures, against words extracted from store websites, our proposed system can automatically label clusters of pictures, and the corresponding WiFi APs, with the store name. Later, when a user enters a store, her smartphone can scan the WiFi APs and consult a lookup table to recognize the store she is in. Our preliminary experiments with 18 stores in a shopping mall show that, our prototype system could correctly match the text from the physical stores with the text extracted from the corresponding web sites and hence label WiFi APs with store names with an accuracy upwards of 90%, which encourages us to pursue this study further. Moreover, we believe the core idea of correlating physical and web sites has broader applications beyond semantic localization, leading to better product placement and shopping experience, yielding benefits for both store owners and shoppers.

Original languageEnglish (US)
Title of host publicationWPA 2015 - Proceedings of the 2nd Workshop on Physical Analytics
PublisherAssociation for Computing Machinery, Inc
Pages31-36
Number of pages6
ISBN (Electronic)9781450334983
DOIs
StatePublished - May 22 2015
Event2nd Workshop on Physical Analytics, WPA 2015 - Florence, Italy
Duration: May 22 2015 → …

Publication series

NameWPA 2015 - Proceedings of the 2nd Workshop on Physical Analytics

Other

Other2nd Workshop on Physical Analytics, WPA 2015
CountryItaly
CityFlorence
Period5/22/15 → …

Keywords

  • Crowdsourcing
  • Semantic localization
  • Textual correlation

ASJC Scopus subject areas

  • Communication
  • Computer Science Applications
  • Computer Networks and Communications

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  • Cite this

    Meng, R., Shen, S., Choudhury, R. R., & Nelakuditi, S. (2015). Matching physical sites with Web sites for semantic localization. In WPA 2015 - Proceedings of the 2nd Workshop on Physical Analytics (pp. 31-36). (WPA 2015 - Proceedings of the 2nd Workshop on Physical Analytics). Association for Computing Machinery, Inc. https://doi.org/10.1145/2753497.2753501