A Cognitive Information Retrieval Using POP Inference Engine Approaches

Parul Kalra, D. Mehrotra, Abdul Wahid
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Abstract

The focus of this chapter is to design a cognitive information retrieval (CIR) framework using inference engine (IE). IE permits one to analyze the central concepts of information retrieval: information, information needs, and relevance. The aim is to propose an inference engine in which adequate user preferences are considered. As the cognitive inference engine (CIE) approach is involved, the complex inquiries are required to return more important outcomes as opposed to customary database questions which get irrelevant and unsolicited responses or results. The chapter highlights the framework of a cognitive rule-based engine in which preference queries are dealt with while keeping in mind the intention of the user, their performance, and optimization.
基于POP推理引擎方法的认知信息检索
本章的重点是设计一个基于推理引擎的认知信息检索框架。IE允许人们分析信息检索的中心概念:信息、信息需求和相关性。目的是提出一个充分考虑用户偏好的推理引擎。由于认知推理引擎(CIE)方法的参与,复杂的查询需要返回更重要的结果,而不是传统的数据库问题得到无关的和未经请求的响应或结果。本章重点介绍了一个基于认知规则的引擎框架,在处理偏好查询的同时,要牢记用户的意图、性能和优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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