Abstract—In the Web world, one user creates and uploads a Web document about a phenomenon or event in the physical world, while another user retrieves and consumes Web documents by submitting a Web query. There have been many researches to mine Web documents in the exploding Web world, especially User Generated Content such as weblogs and microblogs, for knowledge about various phenomena and events in the physical world, and also Web services with the Web-mined knowledge have been made available for the public. However, there are few detailed investigations on how accurately Web-mined data reflect physical-world data. It must be socially-problematic to immoderately utilize the Web-mined data in public Web services without ensuring their accuracy sufficiently. Therefore, the previous papers introduced various Web Sensors to extract spatiotemporal data about a target phenomenon from Web documents searched by keyword(s) representing the target phenomenon, and tried to validate the potential and reliability of the Web-sensed spatiotemporal data. Moreover, this paper compares spatio-temporal Web Sensors analyzing Web queries and/or Web documents. 

Index Terms—knowledge extraction, query analysis, spatio-temporal data mining, web credibility, web sensor.

Cite: Shun Hattori, "Spatio-Temporal Web Sensors Using Web Queries vs. Documents," Journal of Automation and Control Engineering, Vol.1, No.3, pp. 192-197, Sep. 2013. doi: 10.12720/joace.1.3.192-197