Identifying Key Factors Affecting on Future of text information retrieval : A Cross-Impact Analysis Method

Abstract

In contemporary world where information is all about human beings, what matters most is the accurate retrieval of information. Information retrieval has always been a human concern, which is why it is constantly undergoing many changes. One of the issues that information retrieval experts have always been thinking about is designing an efficient information retrieval system. Therefore, by identifying the key factors affecting the future of information retrieval, we can be more successful in designing such a system and have a greater share in the future of information retrieval. In the present study resource review and cross-impact analysis methods, and MicMac software was used to analyze interactions and identify key factors. The results of the present study lead to the identification of 13 key factors: 1. conversion of traditional libraries to digital, 2. development and upgrading of search engines, 3. new content formats, 4. intelligence of data collection methods, 5. convergence media, 6. increasing content production, 7. new generation of the Web, 8. automating information retrieval processes, 9. emergence of hybrid resources, 10. big data, 11. cloud processing, 12. increasing Internet resources, and 13. use of artificial intelligence and natural language processing in effective information retrieval on the future of information retrieval. Therefore, in the era of the fifth industrial revolution, it is necessary for information science specialists to be equipped with technological tool more than before.