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Semantic Template Generation Based Information Summarization for Mobile Devices

  • Jason J. Jung
  • Seung-Bo Park
  • Geun-Sik Jo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3597)

Abstract

In contrast with the amount of explosively increasing information on the Web, mobile users are suffering from low hardware capacity, poor interface, and high communication cost of their wireless devices. In this paper, we propose a framework for information summarization on wireless network. More importantly, we have focused on the template generation based on ontology. This system, thereby, can extract and send particular pieces of information relevant to the corresponding users, instead of sending the full texts themselves. Templates can be generated by not only user’s manual input but also semantic tagging, which is a process categorizing keywords into the most relevant concepts. Hence, in order to highlight a specific part of documents, these semantic templates can be applied as a set of rules. For conducting experiments, we have designed wireless reverse auction system in which participants can instantly send and receive the bidding messages through their mobile devices.

Keywords

Information Extraction Short Message Service Wireless Device Reverse Auction Grammatical Inference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jason J. Jung
    • 1
  • Seung-Bo Park
    • 1
  • Geun-Sik Jo
    • 2
  1. 1.Intelligent E-Commerce Systems Laboratory, School of Computer EngineeringInha UniversityIncheonKorea
  2. 2.School of Computer EngineeringInha UniversityIncheonKorea

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