Hypatia:文档部门的专家系统建议

Angel L. Garrido, Álvaro Peiró, S. Ilarri
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引用次数: 6

摘要

如今,组织中存储的大量基于文本的信息需要不同的方法和新工具来充分管理它。本文介绍了Hypatia,一个为文档部门和普通用户提供支持的专家系统,它不仅可以利用本地信息,还可以利用来自网络的外部资源(例如,关联数据)。专家系统使用了不同的模块:自然语言处理(NLP)分析、分类、语义消歧、自动查询扩展(AQE)、语义搜索、摘要、知识提取和聚合。用户可以以不同的方式与专家系统交互,从给出非常具体的命令到编写简单的关键字列表。后一种方法需要在确定系统的响应之前进行先前的解释。所获得的结果将受益于引用互补数据的语义链接,以改进信息表示和数据导航。
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Hypatia: An expert system proposal for documentation departments
Nowadays the vast amount of text-based information stored in organizations requires different approaches and new tools in order to manage it adequately. This paper presents Hypatia, a support expert system for documentation departments and regular users that exploits not only local information, but also external resources from the Web (e.g., Linked Data). The expert system uses different modules: Natural Language Processing (NLP) analysis, categorization, semantic disambiguation, Automatic Query Expansion (AQE), semantic search, summarization, knowledge extraction, and aggregation. Users can interact with the expert system in different ways, varying from giving very specific orders to writing a simple list of keywords. The latter method requires a previous interpretation before deciding the response of the system. The obtained results will benefit from semantic links referencing complementary data to improve both the information presentation and the data navigation.
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