A Cognitive Information Retrieval Using POP Inference Engine Approaches

A Cognitive Information Retrieval Using POP Inference Engine Approaches

Parul Kalra (Amity University, India), Deepti Mehrotra (Amity University, India) and Abdul Wahid (Maulana Azad National Urdu University, India)
Copyright: © 2019 |Pages: 14
DOI: 10.4018/978-1-5225-5793-7.ch002


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.
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Cir Optimization

CIR optimization is based on collective information of below:

  • Previous user activities (Preferences)

  • Search criteria (Optimization)

  • Information models (Performance)

Refer to Figure 1 CIR with IE and Performance, Optimization and Performance.

Figure 1.

CIR with IE and performance, optimization and performance


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