数字图书馆元数据和索引的低成本语义增强:简单而有效的策略

A. Hinze, D. Bainbridge, S. Cunningham, J. S. Downie
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引用次数: 6

摘要

大多数现有的数字图书馆使用传统的基于词汇的检索技术。对于已建立的系统,完全替换或甚至对文档检索机制(文档分析、索引策略、查询处理和查询接口)进行重大更改将需要大量的技术工作,并且很可能是破坏性的。在本文中,我们描述了使用语义分析和消歧结果的方法,同时保留了现有的基于关键字的搜索和词典索引。我们对此进行了设计,以便语义分析的输出(离线执行)适合直接导入到现有的数字图书馆元数据和索引结构中,从而无需修改体系结构即可合并。
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Low-cost semantic enhancement to digital library metadata and indexing: Simple yet effective strategies
Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing and query interface) would require major technological effort, and would most likely be disruptive. In this paper, we describe ways to use the results of semantic analysis and disambiguation, while retaining an existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications.
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