Abstract
Relevant digital content collection and access are huge problems in digital libraries. It poses a greater challenge to the digital library users and content builders. In this present work an attempt has been made to design and develop a user-adaptive multi-agent system approach to recommend the contents automatically for the digital library. An adaptive dialogue based user-interaction screen has also been provided to access the contents. Once the new contents are added to the collection then the system should automatically alert appropriate user about the new content arrivals based on their interest. The user interactive Question Answering (QA) system provides enough knowledge about the user requirements.
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Knowledge and Content Technologies http://cordis.europa.eu/ist/kct/
Frontend.com – Usability Engineering and Interface Design, Why people can’t use e learning, what the e learning sector needs to learn about usability (May 2001)
Ahrenberg, L., et al.: Coding Schemes for Studies of Natural Language Dialogue. In: AAAI - Spring Symposium (1995)
Flycht-Eriksson, A.: Dialogue and Domain Knowledge Management in Dialogue Systems. In: Proceedings of the First SIGdial Workshop on Discourse and Dialogue (2000)
Jönsson, A., Dahlbäck, N.: Distilling dialogues - A method using natural dialogue corpora for dialogue systems development. In: Proceedings of 6th Applied Natural Language Processing Conference, pp. 44–51 (2000)
Degerstedt, L., Jönsson, A.: A Method for Iterative Implementation of Dialogue Management http://www.ida.liu.se/~arnjo/papers/eurospeech-01.pdf
Dahlback, N., Jonsson, A.: Knowledge sources in spoken dialogue systems. In: Proceedings of Eurospeech 1999, Budapest, Hungary (1999)
Rahimi, S., Carver, N.F.: A Multi-Agent Architecture for Distributed Domain-specific Information Integration. In: Proc. Of the 38th Hawaii Intl. Conference on System Sciences (2003) http://www.ieee.org
Bonett, M.: Personalization of Web Services: Opportunities and Challenges, Ariadne Issue 28 http://www.ariadne.ac.uk/issue28/personalization/intro.html
Gururaj, R., Sreenivasa Kumar, P.: Survey of User Profile Models for Information Filtering System, CIT (2004)
Liu, F., Yu, C.: Senior Member, Personalised Web Search for Improving Retrieval Effectiveness, IEEE Trans. On Knowledge and Data Engineering, 16(1) (January 2004)
Godoy, D., Amandi, A.: Personal Searcher: An Intelligent Agent for Searching Web Pages
Cordero, D., Roldan, P., Schiafino, S., Amandi, A.: Intelligent Agents Generating Personal Newspapers
Schiaffino, S., Amandi, A.: Using Association Rules to Learn Users’ Assistance Requirements. In: Proceddings ASAI 2003, Argentine Symposium on Artificial Intelligence – Buenos Aires, Argentina (September 2003)
Fleming, M., Cohen, R.: User Modeling in the Design of Interactive Interface Agents
Godoy, D., Amandi, A.: A user Profiling Architecture for Textual-Based Agents
Armentano, M., Godoy, D., Amandi, A.: An empirical study in agent based interface issues, Technical Report
Schiaffino, S., Amandi, A.: User-interface agent interaction: Personalization issues, Int. Jour. Human Computer Studies vol. 60, pp. 129–148 (2004) http://www.elseviercomputerscience.com
ACM Computing Classification System www.acm.org/class/1998
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Ponnusamy, R., Gopal, T.V. (2007). Development of an Adaptive Multi-agent Based Content Collection System for Digital Libraries. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_51
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DOI: https://doi.org/10.1007/978-3-540-73110-8_51
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