Creating User's Knowledge Space from Various Information Usages to Support Human Recollection

نویسندگان

  • Harumi Murakami
  • Kenta Mitsuhashi
  • Keita Senba
چکیده

To support human recollection, we present a data integration method using a simple information structure called a history structure, which is constructed from time, keywords, and URI sets. We also present algorithms that generate history structures from such information usages as Web searches, twitter, e-mails, calendars, and book purchases and create a user knowledge space. Based on our approach, we developed a system called a knowledge-space browser and evaluated whether it can help users recall a particular day by summarizing that day’s history structure. Experimental results reveal the usefulness of our approach and our implemented system.

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تاریخ انتشار 2012