Using Semantics to Personalize Access to Data-Intensive Web Sources

被引:0
作者
Starzecka, Monika [1 ]
Walczak, Adam [1 ]
机构
[1] Poznan Univ Econ, PL-61875 Poznan, Poland
来源
BUSINESS INFORMATION SYSTEMS WORKSHOPS | 2009年 / 37卷
关键词
Data-Intensive Web sites; Deep Web; personalization; semantics; ontologies;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data-intensive Web sites are an important and growing source of well-structured information on the Web. Their potential value remains largely unused as they pose a number of challenges to both machine and human users. They are dispersed and provide heterogeneous, rigid, site-specific and non-personalizable query and navigation interfaces. In this paper we present outline of method for accessing data from data-intensive Web sites in an uniform way. Our method is independent of the source and allows, for personalization of the access to data. We describe how domain ontology is used for definition of personalized GUI Then initial evaluation of described method is provided.
引用
收藏
页码:28 / 38
页数:11
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