A case study on domain analysis of semantic Web multi-agent Recommender Systems

被引：0

作者：

Mariano, Roberval ^{[1
]}

Girardi, Rosario ^{[1
]}

Leite, Adriana ^{[1
]}

Drumond, Lucas ^{[1
]}

Maranhao, Djefferson ^{[1
]}

机构：

[1] Univ Fed Maranhao, Sao Luis, MA, Brazil

来源：

ICSOFT 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL ISDM/ABF | 2008年

关键词：

Recommender Systems; Semantic Web; information filtering; Domain Engineering; Multi-agent systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：160 / 167

页数：8

共 13 条

[1] Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [J].