Article

A SOM-based technique for a user-centric content extraction and classification of web 2.0 with a special consideration of security aspects

Authors:

Amirreza Tahamtan,

Amin Anjomshoaa,

A. Min TjoaAuthors Info & Claims

KSEM'10: Proceedings of the 4th international conference on Knowledge science, engineering and management

Pages 412 - 423

Published: 01 September 2010 Publication History

Abstract

Web 2.0 is much more than adding a nice facade to old web applications rather it is a new way of thinking about software architecture of Rich Internet Applications (RIA). In comparison to traditional web applications, the application logic of modern Web 2.0 applications tends to push the interactive user interface tasks to the client side. The client components on the other hand negotiate with remote services that deal with user events. The user should be assisted in different scenarios in order to use the existing platforms, share the resources with other users and improve his security. In this paper we present a user-centered content extraction and classification method based on self-organizing maps (SOM) as well as a prototype for provided content on Web 2.0. The extracted and classified data serves as a basis for above mentioned scenarios.

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Cited By

Trinh TDo BWetz PAnjomshoaa ATjoa AWeippl EIndrawan-Santiago MSteinbauer MKotsis GKhalil I(2013)Linked WidgetsProceedings of International Conference on Information Integration and Web-based Applications & Services10.1145/2539150.2539252(438-442)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2539150.2539252

Index Terms

A SOM-based technique for a user-centric content extraction and classification of web 2.0 with a special consideration of security aspects
1. Information systems
  1. Information retrieval

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Guide Proceedings

KSEM'10: Proceedings of the 4th international conference on Knowledge science, engineering and management

September 2010

617 pages

ISBN:3642152791

Editors:
Yaxin Bi
University of Ulster, School of Computing and Mathematics, Newtownabbey, Co. Antrim, UK
,
Mary-Anne Williams
University of Technology, Faculty of Information Technology, Sydney, NSW, Australia

Sponsors

Springer
University of Ulster
Artificial Intelligence Journal
Belfast Visitor & Convention Bureau
European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 September 2010

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Cited By

Trinh TDo BWetz PAnjomshoaa ATjoa AWeippl EIndrawan-Santiago MSteinbauer MKotsis GKhalil I(2013)Linked WidgetsProceedings of International Conference on Information Integration and Web-based Applications & Services10.1145/2539150.2539252(438-442)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2539150.2539252

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