Identifying Users Stereotypes with Semantic Web Mining

Authors:
Sandro José Rigo;José Palazzo Oliveira
Affiliations:
Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brasil and Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
Venue:
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Year:
2008

Citing 14
Cited 0

Clustering transactions using large items

Proceedings of the eighth international conference on Information and knowledge management
The hypercontext framework for adaptive Hypertext

Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

Data Mining and Knowledge Discovery
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Personalization in distributed e-learning environments

Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Frequent Substructure-Based Approaches for Classifying Chemical Compounds

IEEE Transactions on Knowledge and Data Engineering
Summarizing itemset patterns: a profile-based approach

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Mining compressed frequent-pattern sets

VLDB '05 Proceedings of the 31st international conference on Very large data bases
User-Centred Design of Flexible Hypermedia for a Mobile Guide: Reflections on the HyperAudio Experience

User Modeling and User-Adapted Interaction
Semantic annotation of frequent patterns

ACM Transactions on Knowledge Discovery from Data (TKDD)
Recognising Professional-Activity Groups and Web Usage Mining for Web Browsing Personalisation

WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Web user segmentation based on a mixture of factor analyzers

EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Task-Oriented web user modeling for recommendation

UM'05 Proceedings of the 10th international conference on User Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work describes the implementation of automatic user profile acquisition, using domain ontologies and Web usage mining. The main objective is the integration of usage data obtained from user sessions, with semantic description, obtained from domain ontology. In this way it is possible to identify more precisely the interests and needs of a typical user.