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Tytuł artykułu

Using tags in an AIML-based chatterbot to improve its knowledge

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, it is common to find on the Internet different conversational robots which interact with users simulating a natural language conversation. Among them, we can emphasize the chatterbots based on AIML language. In this paper we present an AIML based chatterbot that shows as its main contribution the use of tags and folksonomies. Thanks to its use, we can generate a context for each conversation, being able to maintain a state for each user in the system, and improving the adaptation capabilities of the bot.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Strony
123--133
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo (Spain)
  • Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo (Spain)
autor
  • Department of Telematics Engineering, University of Vigo, Campus Lagoas Marcosende s/n, 36310, Vigo (Spain)
autor
  • Consellera de Educacion e O.U., Edificio Administrativo San Caetano, Santiago de Compostela
Bibliografia
  • [1] Al-Khalifa H. S., Davis H. C.: Exploring The Value Of Folksonomies For Creating Semantic Metadata. International Journal on Semantic Web and Information Systems (IJSWIS), 3(1):13–39, March 2007.
  • [2] A.L.I.C.E.: Artificial Intelligence Foundation. http://www.alicebot.org/.
  • [3] Cleverbot: http://cleverbot.com/.
  • [4] FreeHal: http://www.freehal.org/.
  • [5] Hal U.: http://zabaware.com/assistant/.
  • [6] Hotho A., Jaschke R., Schmitz C., Stumme G.: Information Retrieval in Folksonomies: Search and Ranking. In The Semantic Web: Research and Applications, vol. 4011 of Lecture Notes in Computer Science, pp. 411–426. Springer Berlin /Heidelberg, 2006.
  • [7] Neves A. M.M., Diniz I., Barros F. A.: Natural Language Communication via AIML Plus Chatterbots. V Symposium on Human Factors in Computers Systems (IHC 2002), pp. 329-346, 2002.
  • [8] Program D. Getting Started with Program D.: http://www.alicebot.org/resources/programd/readme.html.
  • [9] Shepitsen A., Gemmell J., Mobasher B., Burke R.: Personalized Recommendation in Social Tagging Systems using Hierarchical Clustering. In Proceedings of the 132 Fernando A. Mikic, Juan C. Burguillo, Ana Peleteiro, Marta Rey-López 2008 ACM Conference on Recommender Systems, RecSys ’08, pp. 259–266, New York, NY, USA, 2008. ACM.
  • [10] Spiteri L. F.: The Use of Folksonomies in Public Library Catalogues. The Serials Librarian, 51(2):75–89, 2006.
  • [11] Szomszor M. N., Cantador I., Alani H.: Correlating User Profiles from Multiple Folksonomies. In Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, HT ’08, pp. 33–42, New York, NY, USA, 2008. ACM.
  • [12] Vander Wal T.: Folksonomy Coinage and Definition. http://www.vanderwal.net/folksonomy.html.
  • [13] Veres C.: The Language of Folksonomies: What Tags Reveal About User Classification. In Natural Language Processing and Information Systems, vol. 3999 of Lecture Notes in Computer Science, pp. 58–69. Springer Berlin / Heidelberg, 2006.
  • [14] Vivant C.: http://www.chipvivant.com/.
  • [15] Wallace R. S.: The Elements of AIML Style. ALICE A.I. Foundation Inc., 2003.
  • [16] Zhang G., Qu Z., Guo A.: Using Folksonomies to Improve Peer-to-Peer Knowledge Sharing. In Information Processing (ISIP), 2008 International Symposiums on, pp. 280–285, May 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH1-0028-0208
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