Semantic template generation based information summarization for mobile devices

Authors:
Jason J. Jung;Seung-Bo Park;Geun-Sik Jo
Affiliations:
Intelligent E-Commerce Systems Laboratory, School of Computer Engineering, Inha University, Incheon, Korea;Intelligent E-Commerce Systems Laboratory, School of Computer Engineering, Inha University, Incheon, Korea;School of Computer Engineering, Inha University, Incheon, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

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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.