基于联合索引的下一代图书馆学术资源搜索研究

Research on the Next-Gen Library Academic Search Engine Based On Unified Indexing

首先对图书馆的学术资源搜索的三种工作模式——本地实时检索模式、本地索引模式和远程联邦检索模式进行了回顾,认为这三种模式只是部分解决了图书馆的需求。紧接着评介了一种对图书馆本地和远程学术资源联合索引的检索模式,认为这是图书馆未来将广泛采用的检索模式。最后,对下一代图书馆学术搜索引擎的三个典型代表SUMMON、Google Scholar学术搜索和SCIRUS等进行了案例分析。

This paper firstly gives a brief review of the three models of library's academic search engine-local real-time retrieval,pre-index retrieval and distributed federated search,and holds that they all meet only part of library's needs.Then it introduces an evolutionary model of library academic search engine-unified pre-index model which pre-indexes all of library's local and remote resources.Finally,it paper gives a case study on three typical representatives of the next-generation library academic search engine,SUMMON from Serials Solution,Google Scholar from Google Inc. and SCIRUS.