资源发现:建模、编目和搜索

B. Desai, R. Shinghal
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引用次数: 2

摘要

在互联网上寻找信息资源时,现有的搜索系统表现出不均衡的选择性(B.C. Desai和R. Shinghall, 1996)。这个问题促使许多研究人员将注意力转向开发和实现用于在WWW和Internet上索引和搜索的元数据模型(B.C. Desai, 1995)。我们项目的目标是设计一个系统,使用户能够访问存储在异构分布式信息系统中的目录性质的数据。这些数据描述了因特网上的虚拟图书馆,特别是万维网上的资源。我们展示了我们的元数据版本,用于对资源等文档进行建模。我们还介绍了我们的方法来建模图书馆员的专业知识编目,用户输入和搜索使用基于规则的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource discovery: modelling, cataloguing and searching
In seeking information resources on the Internet, existing search systems exhibit uneven selectivity (B.C. Desai and R. Shinghall, 1996). This problem has prompted a number of researchers to turn their attention to the development and implementation of metadata models for use in indexing and searching on the WWW and Internet (B.C. Desai, 1995). The objective of our project is to design a system to enable users to access data of a catalog nature stored in heterogeneous distributed information systems. These data describe resources available from virtual libraries on the Internet, in general, and the World Wide Web, in particular. We present our version of metadata for modelling document like resources. We also present our approach to modelling the expertise of librarians for cataloging, user entry and search using a rule based system.
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