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Expert/consultation system for a retrieval data-base with semantic network of concepts

机译:具有概念语义网络的检索数据库专家/咨询系统

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This paper describes a development and implementation of an expert/consultation system for a retrieval data-base, that interfaces between the user and a retrieval system. The system's objective is to perform the information consultant's job in assisting a user to select the right vocabulary terms for his query. It is particularly useful for a novice user of a controlled-vocabulary, index-based retrieval system, who is not familiar with the vocabulary and the system Thesaurus. The user will enter his terms/keywords, that represent his information need, and the system will apply search procedures on its knowledge-base, and will find relevant concepts to be used as query-terms. The system is interactive; it can explain to the user why/how a concept was discovered/suggested, and it can back-track and try to find alternatives in case the user rejects a suggested concept. Two versions of the system were developed, utilizing two search and interaction strategies. Experiments will be conducted with the two alternatives in order to find out user preference and to compare performance. Performance will also be compard with an alternative "conventional" approach, which is an On-Line-Thesarus - developed as part of this study.
机译:本文描述了用于检索数据库的专家/咨询系统的开发和实现,该系统在用户和检索系统之间进行接口。该系统的目标是执行信息顾问的工作,以帮助用户选择适合其查询的词汇。对于不熟悉该词汇表和词库系统的,受控的,基于索引的检索系统的新手用户而言,此功能特别有用。用户将输入代表他的信息需求的术语/关键字,并且系统将在其知识库上应用搜索过程,并将找到要用作查询术语的相关概念。该系统是交互式的;它可以向用户解释为什么/如何发现/建议一个概念,并且可以回溯并尝试查找替代方案,以防用户拒绝建议的概念。利用两种搜索和交互策略,开发了该系统的两个版本。为了找到用户的喜好并比较性能,将使用这两种方法进行实验。性能还将与另一种“常规”方法进行比较,该方法是本研究的一部分开发的在线Thesarus。

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