A CASE STUDY ON DOMAIN ANALYSIS OF SEMANTIC WEB MULTI-AGENT RECOMMENDER SYSTEMS

Roberval Mariano, Rosario Girardi, Adriana Leite, Lucas Drumond, Djefferson Maranhão

Abstract

The huge amount of data available on the Web and its dynamic nature is the source of an increasing demand of information filtering applications such as recommender systems. The lack of semantic structure of Web data is a barrier for improving the effectiveness of this kind of applications. This paper introduces ONTOSERS-DM, a domain model that specifies the common and variable requirements of Recommender Systems based on the ontology technology of the Semantic Web, using three information filtering approaches: content-based, collaborative and hybrid filtering. ONTOSERS-DM was modeled under the guidelines of MADEM, a methodology for Multi-Agent Domain Engineering, using the ONTOMADEM tool.

References

  1. Lindoso, A. N., “The SRAMO Technique for Analysis and Reuse of Requirements in Multi-agent Application Engineering”. In: IX Workshop on Requirements Engineering (WER 2006), Proceedings of IX Workshop on Requirements Engineering, Rio de Janeiro, 2006a. v. 20. p. 41-50.
  2. Lindoso, A. N., Uma Metodologia Baseada em Ontologia para a Engenharia de Aplicações Multiagente. Tese de Mestrado. São Luís. 2006b.
  3. Fanizzi, C., Nicola, D., Espósito, F., “A Semantic Similarity Measure for Expressive Description Logics”. Universita di Bari. Italy. 2005.
  4. Ziegler, C., “Semantic Web Recommender Systems”. Proc. Joint ICDE/EDBT Ph.D. Workshop, pp. 78-89. 2004.
  5. Ziegler, C., Schimitdt-Thieme, L., Lausen, G., “Exploiting Semantic Product Descriptions for Recommender Systems”. SWIR 04. ACM SIGIR Semantic Web and Information Retrieval Woksho, Sheffield, UK, July, 29, 2004.
  6. Adomavicius, G., Tuzhilin, A., “Toward the Next Generation of Recommender Systems: A Survey of the State-of-Art and Possible Extensions”, IEEE Transactions on Knowledge and Data Engineering, 2005 v. 17, n 6. 734-749.
  7. Girardi, R., Leite, A., “ONTOMADEM: An Ontologydriven Tool for Multi-Agent Domain Engineering”, Proceedings of The Nineteenth International Conference on Software Engineering and Knowledge Engineering, Ed. Knowledge Systems Institute. Boston, 2007, pp. 559-564.
  8. R. Girardi, L. Drumond, “A Multi-agent Legal Recommender System” of Ai and Law, 2008 (to appear).
  9. Girardi, R., Marinho, L., “A Domain Model of Web Recommender Systems based on Usage Mining and Collaborative Filtering, Requirements Engineering Journal”, Ed. Springer-Verlag, London, vol.12, n. 1, 2007, pp. 23-40.
  10. Middleton, S. E., Roure, H. A., David, C., “Exploiting synergy between ontologies and recommender systems”. In Proceedings of the WWW International Workshop on the Semantic Web, volume 55 of CEUR Workshop Proceedings, Maui, HW, USA, May 2002.
  11. Gruber, T. R., “Toward Principles for the Design of Ontologies used for Knowledge Sharing”. International Journal of Human-Computer Studies, 1995. Nº 43, pp. 907-928.
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Paper Citation


in Harvard Style

Mariano R., Girardi R., Leite A., Drumond L. and Maranhão D. (2008). A CASE STUDY ON DOMAIN ANALYSIS OF SEMANTIC WEB MULTI-AGENT RECOMMENDER SYSTEMS . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-53-1, pages 160-167. DOI: 10.5220/0001885801600167


in Bibtex Style

@conference{icsoft08,
author={Roberval Mariano and Rosario Girardi and Adriana Leite and Lucas Drumond and Djefferson Maranhão},
title={A CASE STUDY ON DOMAIN ANALYSIS OF SEMANTIC WEB MULTI-AGENT RECOMMENDER SYSTEMS},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2008},
pages={160-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001885801600167},
isbn={978-989-8111-53-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - A CASE STUDY ON DOMAIN ANALYSIS OF SEMANTIC WEB MULTI-AGENT RECOMMENDER SYSTEMS
SN - 978-989-8111-53-1
AU - Mariano R.
AU - Girardi R.
AU - Leite A.
AU - Drumond L.
AU - Maranhão D.
PY - 2008
SP - 160
EP - 167
DO - 10.5220/0001885801600167