Volume 29, Issue 2 (Winter 2014)                   ... 2014, 29(2): 425-451 | Back to browse issues page

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Ammar Jalalimanesh, Sirous Alidousti, Mahmood Khosrojerdi. Machine Indexer for Persian Resources: An Integrated Model for the Iranian Research Institute for Information Science and Technology. .... 2014; 29 (2) :425-451
URL: http://jipm.irandoc.ac.ir/article-1-2475-en.html
Abstract:   (8323 Views)
Machine indexer is referred to as a kind of indexing system in which keywords are extracted from the title or body of a text and organized in the index entries using computer algorithm. Althogh there is an increasing need for applying computer in indexing machine indexer has not been developed for Persian language yet. Therefore in this paper the results of investigating and identifying of theoretical and practical aspects of such system in the Iranian Research Institute for Information Science and Technology are presented. To do so, firstly the relationship between indexing and information retrieval, theoretical debates and the machine indexing revolution, the practical and procedural viewpoints of machine indexing, successful projects in different countries and for different languages, and the requirements of machine indexer for Persian language are discussed. Then the elements of a machine indexer for Persian language are defined and its conceptual model and also the relationships between the elements, the details of subsystems, and the indexer logical system are designed. Finally, the requirments of developing the system for the Iranian Research Institute for Information Science and Technology are discussed and the state of the art of the implemented projects and existing experiences in this regard are defined.
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Type of Study: Research | Subject: Library and Information Science
Received: 2014/04/15 | Accepted: 2014/04/15 | Published: 2014/04/15

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