Making Topic-Specific Report and Multimodal Presentation Automatically by Mining the Web Resources

  • Authors:
  • Shaikh Mostafa Al Masum;Mitsuru Ishizuka

  • Affiliations:
  • University of Tokyo, Japan;University of Tokyo, Japan

  • Venue:
  • WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Due to availability and accessibility of enormous internet-based resources and dynamic nature of web pages, the task of information retrieval is becoming more challenging and gradually tricky. This paper describes about agent based autonomous system, Automatic Report to Presentation (ARP), with the notion of autonomous information service emerging as the result of integration among natural language processing, web intelligence, and character-based agent interaction. The system, ARP, automatically builds a report on a topic or search phrase(s) given by a user by fetching a set of web-pages; and then parsing; summarizing, affect-sensing and correlating information extracted from those. The system also makes a concise presentation automatically and, a group of character based software-agents autonomously present the topic in a story-telling manner employing text-to- speech engine with accompanied content-rich slides, different gestures and affects.