Document Indexing with a Concept Hierarchy

被引：0

作者：

Gelbukh, Alexander ^{[1
]}

Sidorov, Grigori ^{[1
]}

Guzman-Arenas, Adolfo ^{[1
]}

机构：

[1] Natl Polytech Inst IPN, Ctr Comp Res CIC, Nat Language Proc Lab, Av Juan Dios Batiz S-N, Mexico City 07738, DF, Mexico

来源：

COMPUTACION Y SISTEMAS | 2005年 / 8卷 / 04期

关键词：

Document Characterization; Document Comparison; Ontology; Statistical Methods;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Given a large hierarchical concept dictionary (thesaurus, or ontology), the task of selection of the concepts that describe the contents of a given document is considered. A statistical method of document indexing driven by such a dictionary is proposed. The method is insensible to inaccuracies in the dictionary, which allow for semi-automatic translation of the hierarchy into different languages. The problem of handling non-terminal and especially top-level nodes in the hierarchy is discussed. Common sense-complaint methods of automatically assigning the weights to the nodes and links in the hierarchy are presented. The application of the method in the Classifier system is discussed.

引用

页码：281 / 292

页数：12

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