认知智能在信息检索过程中的应用及其挑战

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mamata Rath, J. Rodrigues, G. Oreku
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引用次数: 4

摘要

信息检索是指从存储系统中识别相关信息,并通过特定程序将其恢复的一种值得注意的系统。这些技术被用于处理主观智能的许多不同应用程序中。基于信息检索的应用存在各种问题,例如,在技术领域,目标物在接近传感器时突然发生尺寸变化。如果处理不当,改变后的变化可能会在信息关联和位置估计中出现实质性问题。在这样的系统下,客观状态的意义是对动态场景程序化理解的根本推进。这就是信息检索需要认知模型的原因。现有的模型围绕数据列表项和记录之间的连接移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Cognitive Intelligence in the Information Retrieval Process and Associated Challenges
Information retrieval refers to a noteworthy system of identifying relevant information and recovering it through specific procedures from stored system. These technique is used in many differentiated applications that deal with subjective intelligence. Applications based on information retrieval are identified with various issues, for example, in technology domain, the sudden size changes of the objectives as they approach the sensor. If not taken care of appropriately, the altered changes can present substantial issues in information affiliation and position estimation. Under such a system, the meaning of the objective state is the fundamental advance for programmed comprehension of dynamic scenes. This is the reason of requirement of cognitive models for information retrieval. The existent models move around the connection between data list terms and records.
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来源期刊
CiteScore
2.00
自引率
11.10%
发文量
16
期刊介绍: The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) encourages submissions that transcends disciplinary boundaries, and is devoted to rapid publication of high quality papers. The themes of IJCINI are natural intelligence, autonomic computing, and neuroinformatics. IJCINI is expected to provide the first forum and platform in the world for researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications.
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