Document Indexing With a Concept Hierarchy

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 semiautomatic 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.

• Type: Conference
• Year: 2001
• Where: NDDL
• Authors: Alexander F. Gelbukh, Grigori Sidorov, Adolfo Guzmán-Arenas
• Keywords: Digital Library, Document Indexing, Large Hierarchical Concept, NDDL 2001, Statistical Method