Semantic refinement for Web information retrieval

C. Deco, C. Bender, J. Saer, M. Chiari, Regina Motz
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引用次数: 9

Abstract

As the Web has become one of the biggest repository of knowledge easily accessible for everyone, information retrieval has stopped to be an exclusive field of information sciences specialists, and it has become a field related with any person. Although users do not have to know information retrieval techniques, the proposal of this work is to improve query results by using a "specialist" that implements these techniques. For this, a semantic refiner is proposed. This refiner acts as a specialist in information sciences and prepares, using linguistic resources, an appropriate search strategy that represents the user's information need. The semantic refinement consists on three steps. First, it guides the user for sense disambiguation of the words submitted by him. Then, it allows the user to select concepts hierarchically related to reduce the amount of documents to retrieve. Finally, it expands semantically concepts to increase the amount of documents to be retrieved. A prototype is implemented using WordNet as linguistic resource, and experimental results are analyzed.
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Web信息检索的语义细化
随着网络成为人人都能轻松访问的最大的知识资源库之一,信息检索已不再是信息科学专家的专属领域,它已成为与任何人相关的领域。虽然用户不需要知道信息检索技术,但这项工作的建议是通过使用实现这些技术的“专家”来改进查询结果。为此,提出了一个语义细化器。这个精炼者充当信息科学方面的专家,并使用语言资源准备一个代表用户信息需求的适当搜索策略。语义细化包括三个步骤。首先,它引导用户对他提交的单词进行语义消歧。然后,它允许用户选择与层次结构相关的概念,以减少要检索的文档数量。最后,它扩展语义概念以增加要检索的文档数量。以WordNet为语言资源实现了一个原型,并对实验结果进行了分析。
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