Automating Semantic Blogging

نویسندگان

  • Praphul Chandra
  • Saravana Mariappan
  • Geetha Manjunath
چکیده

Blogging is an easy and widely usable tool for data exchange and knowledge management. But the data in blogs are limited to the ‘followers’ (human readers) and not easily available for machine processing to enable information aggregation or further analysis. Thus, there is a need to enrich blog content with additional semantics using metadata. This paper proposes an approach for automating semantic blogging i.e. automatically creating semantic blog entries for certain user web actions. As an example, we show how a review given at a site (e.g. Amazon) can automatically create a semantic blog entry for the user. Our approach is unique in that it focuses on automating the end-to-end process of creating a semantic blog entry. Furthemore, it does not require any change to existing websites The basic approach to automation of semantic blogging is to observe user created data in web actions (e.g. review contents), transform this into XML, parse in to objects, enriched with metadata like microformats (hReview, hCalendar, hProduct and hCard) and publish as blog entries through our automated web browsing technology.

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تاریخ انتشار 2009