Abstract
The demonstration shows the system Welkin, a multilingual system that analyses one or several source texts with a cascade of linguistic-processing modules, including syntactic analyses, text identification and text classification techniques, in order to fill in a database of information about it. That information is later used to generate on-the-fly adaptive on-line information sites according to some user profiles.
This work has been sponsored by CICYT, project number TIC2001-0685-C02-01.
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Alfonseca, E.: An Approach for Automatic Generation of Adaptive Hypermedia using Knowledge Discovery, Text Summarisation and other Natural Language Processing Techniques. Ph.D. thesis, Universidad Autónoma de Madrid (2003)
Alfonseca, E., Rodríguez, P.: Modelling users’ interests and needs for an adaptive on-line information system. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS, vol. 2702, pp. 76–80. Springer, Heidelberg (2003)
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Alfonseca, E., Pérez, D., Rodríguez, P. (2004). Welkin: Automatic Generation of Adaptive Hypermedia Sites with NLP Techniques. In: Koch, N., Fraternali, P., Wirsing, M. (eds) Web Engineering. ICWE 2004. Lecture Notes in Computer Science, vol 3140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27834-4_92
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DOI: https://doi.org/10.1007/978-3-540-27834-4_92
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