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Inverse local context analysis A method for exhaustively gathering documents from limited accessible data sources

机译:逆局部上下文分析一种从有限的可访问数据源中全面收集文档的方法

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摘要

Purpose - The purpose of this paper is to explore the use of inverse local context analysis (ILCA) to obtain data from limited accessible data sources. Design/methodology/approach - The experimental results show that the method the authors proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Findings - The experimental results show that the method we proposed can obtain all retrieved documents from the limited accessible data source using the least number of queries. Originality/value - To the best of the authors' knowledge, this paper provides the first attempt to gather all the retrieved documents from limited accessible data source, and the efficiency and ease of implementation of the proposed solution make it feasible for practical applications. The method the authors proposed can also benefit the construction of web corpus.
机译:目的-本文的目的是探索使用逆局部上下文分析(ILCA)从有限的可访问数据源中获取数据。设计/方法/方法-实验结果表明,作者提出的方法可以使用最少的查询次数,从有限的可访问数据源中获取所有检索到的文档。结果-实验结果表明,我们提出的方法可以使用最少的查询次数,从有限的可访问数据源中获取所有检索到的文档。原创性/价值-就作者所知,本文提供了首次尝试从有限的可访问数据源中收集所有检索到的文档,并且该解决方案的效率和易于实施性使其在实际应用中可行。作者提出的方法也有利于网络语料库的建设。

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