图书、情报、档案一体化构想的否定性检验

图书、情报、档案一体化管理是否是三学科历史发展的必然选择?它能否带来管理和服务成本的必然下降?其能否成功搭建一个法规平台?对一体化构的否定性检验可以使人们对这一问题会有更理性的认识。     

The Co-Effects of Query Structure and Expansion on Retrieval Performance in Probabilistic Text Retrieval

The effects of query structures and query expansion (QE) on retrieval performance were tested with a best match retrieval system (InQuery¹). Query structure means the use of operators to express the relations between search keys. Six different structures were tested, representing strong structures (e.g., queries with facets or concepts identified) and weak structures (no concepts identified, a query is a bag of search keys). QE was based on concepts, which were first selected from a searching thesaurus, and then expanded by semantic relationships given in the thesaurus. The expansion levels were (a) no expansion, (b) a synonym expansion, (c) a narrower concept expansion, (d) an associative concept expansion, and (e) a cumulative expansion of all other expansions. With weak structures and Boolean structured queries, QE was not very effective. The best performance was achieved with a combination of a facet structure, where search keys within a facet were treated as instances of one search key (the SYN operator), and the largest expansion.     

Construction of query concepts based on feature clustering of documents

In Information Retrieval, since it is hard to identify users’ information needs, many approaches have been tried to solve this problem by expanding initial queries and reweighting the terms in the expanded queries using users’ relevance judgments. Although relevance feedback is most effective when relevance information about retrieved documents is provided by users, it is not always available. Another solution is to use correlated terms for query expansion. The main problem with this approach is how to construct the term-term correlations that can be used effectively to improve retrieval performance. In this study, we try to construct query concepts that denote users’ information needs from a document space, rather than to reformulate initial queries using the term correlations and/or users’ relevance feedback. To form query concepts, we extract features from each document, and then cluster the features into primitive concepts that are then used to form query concepts. Experiments are performed on the Associated Press (AP) dataset taken from the TREC collection. The experimental evaluation shows that our proposed framework called QCM (Query Concept Method) outperforms baseline probabilistic retrieval model on TREC retrieval.     

跨语言信息检索理论与应用研究

随着互联网的全球化发展趋势，跨语言信息检索日益成为信息检索领域中的重要课题，跨语言检索可用一种提问语言检索出用另一种语言书写的信息。文章主要对跨语言信息检索理论应用研究进行了探讨，并对其在专业领域数据库中的应用提出一种思路。     

一种基于领域的语义搜索引擎模型SSEM

Internet已成为全球最丰富的数据源,数据类型繁杂且动态变化,如何从中快速准确地检索出用户所需要的信息是一个亟待解决的问题.传统的搜索引擎基于语法的方式进行搜索,缺乏语义信息,难以准确地表达用户的查询需求和被检索对象的文档语义,致使查准率和查全率较低且搜索范围有限.本文对现有的语义检索方法进行了研究,分析了其中存在的问题,在此基础上提出了一种基于领域的语义搜索引擎模型,结合语义Web技术,使用领域本体元数据模型对用户的查询进行语义化规范,依据领域本体模式抽取文档中的知识并RDF化,准确地表达了用户的查询语义和作为被查询对象的文档语义,可以大大提高检索的准确性和检索效率,详细地给出了模型的体系结构、基本功能和工作原理.     

图书馆自动化集成系统的评价标准

本文从系统性能、系统的运行模式、数据库管理系统、数据的标准化等六个方面分析了图书馆自动化集成系统软件的评价标准。参考文献10。     

图书馆自动化系统的"开放性"与"二次开发"问题

具有“开放性”与可“二次开发”是图书馆自动化系统选择的重要指标。文章就图书馆自动化系统的“开放性”与“二次开发”问题提出的原因、“开放性”与“二次开发”范围与深度的界定,以及用户如何参与系统的“二次开发”等问题进行了讨论。     

XML应用的相关技术研究

XML技术是下一代Web核心技术，近年来在XML应用研究和支持技术方面取得了长足的进展．对XML相关技术，如类型定义的DTD和Schema；XML转换的数据岛，CSS，XSLT，DOM和SAX；进行XML文档查询的XPath，XLink，XPointer；以及XML数据库等技术进行讨论．     

复合图书馆的含义、原型及对我们的启示

复合图书馆强调对印刷型资源和电子资源实行整合，为用户提供集成化的检索服务，通过统一界面一次无缝地检索各种资源。目前，这种复合图书馆原型已经出现，为我们探索网络环境下的文献信息服务和数字图书馆建设提供了有益的借鉴。     

电动汽车课程一体化教学方案探索

汽车驱动模式的改变带来汽车服务技术的转变,电动汽车高技术人才缺口非常大,社会急需一大批专业的电动汽车服务人员。职业院校开展电动汽车技术方向的一体化教学,培养电动汽车方面的人才,可以缓解社会对电动汽车高技能人才的需求,推动电动汽车产业发展。针对职业院校在开展电动汽车一体化教学时所涉及到的专业能力目标、教学方案、一体化学习工作站的建设等方面开展研究,提出建设性的参考方案。