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Conceptual information retrieval based on cooperative conceptual data reduction

机译:基于协同概念数据约简的概念信息检索

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The amount of the available information is growing exponentially, making it increasingly difficult to find the desired information. This is especially true in the case of the World Wide Web, which has no central administration and thus no ordering scheme to help users to find the information they need. Generally, they get a huge number of references. Moreover, the Web technology is suitable to build distributed information. Due to the huge quantity of available information and its distributed structure, it is necessary to abstract it and eliminate the redundancy data. In this work, we propose a method for cooperative conceptual data reduction that is integrated in a conceptual information retrieval system. The proposed method is based on the concept lattice incremental construction. This work presents a conceptual information retrieval system based on cooperative conceptual data reduction able to select informations satisfying some queries in two steps:i) reducing data size to keep only the minimal rows on the set of databases, ii) searching the concept satisfying the query on the reduced database.
机译:可用信息的金额呈指数增长,使得越来越困难找到所需的信息。在万维网的情况下,这尤其如此,它没有中央管理,因此没有订购方案来帮助用户找到所需信息。通常,他们得到了大量的参考。此外,Web技术适合构建分布式信息。由于可用信息数量和分布式结构,因此必须抽出它并消除冗余数据。在这项工作中,我们提出了一种在概念信息检索系统中集成的协同概念数据减少方法。所提出的方法基于概念晶格增量结构。这项工作提出了一种基于协同概念数据减少的概念信息检索系统,能够在两个步骤中选择满足某些查询的信息:i)减少数据大小以仅在符合查询的概念上保持数据大小以保持最小的行。搜索满足查询的概念。在减少的数据库中。

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