DESENVOLVIMENTO DE UMA FAMÍLIA DE SISTEMAS DE RECOMENDAÇÕES BASEADOS NA TECNOLOGIA DA WEB SEMÂNTICA E SEU REUSO NA RECOMENDAÇÃO DE INSTRUMENTOS JURÍDICO-TRIBUTÁRIOS / DEVELOPMENT OF A FAMILY OF SYSTEMS BASED ON RECOMMENDATIONS OF TECHNOLOGY AND ITS SEMANTIC WEB REUSE IN RECOMMENDATION OF LEGAL INSTRUMENTS-TRIBUTARIES

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

The huge amount of data available on the Web and its dynamic nature create a demand for information filtering applications such as recommender systems. The lack of semantic structure of data available on the Web constitutes a barrier for increasing the effectiveness of such applications family. This work discusses the analysis, design, implementation and evaluation of Semantic Web based hybrid filtering agents. Such agents were integrated in ONTOSERS, an application family for the development of recommender systems based on the Semantic Web technology. The implemented agents were evaluated and their results were compared with the results of collaborative and content-based filtering agents. The hybrid filtering techniques presented better results than the other approaches in the conducted experiments. The tested hybrid filtering approaches were the weighted and switched ones. The explicit feedback was used to validate the recommendations, presenting a better correlation with the hybrid filtering techniques. The developed agents were also evaluated through the reuse of the ONTOSERS systems family, a multi-agent recommender system in the Brazilian tributary domain.

ASSUNTO(S)

ontologia tributária semantic web engenharia de domínio multiagente recommender systems tributary ontology sistemas de informacao sistema de recomendações engenharia de aplicação multiagente multi-agent application engineering web semântica reuso multi-agent domain engineering information filtering filtragem de informação reuse

ACESSO AO ARTIGO

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