Volume 4, No. 3, March 2013 Journal of Global Research in Computer Science REVIEW ARTICLE Available Online at www.jgrcs.info © JGRCS 2010, All Rights Reserved 46 A REVIEW OF THE COGNITIVE INFORMATION RETRIEVAL CONCEPT, PROCESS AND TECHNIQUES Parul Kalra Bhatia *1 , Chetna Choudhary 2 , Dr. Deepti Mehtrotra 3 and Dr Abdul Wahid 4 * 1 Department of IT, Amity University, Noida, Uttar Pradesh, India pkbhatia@amity.edu 1 2 Department of IT, Amity University, Noida, Uttar Pradesh, India cchoudhary@amity.edu 2 3 Director, ASCS, I- Block, Sector-44, Amity University, Noida, Uttar Pradesh, India dmehrota@amity.edu 3 4 HOD CS &IT, MAMUU, Central University, Hyderabad, Andhra Pradesh, India wahidabdul76@yahoo.com 4 Abstract: The word "cognitive" refers to the thought process toward awareness or knowledge. In terms of Cognitive Science, it provides bridge between information processing, conceptualization of the resources, perceptual skills and topics related to the cognitive psychology. By retrieving information that based on cognitive concepts, process and techniques one can represent the current user’s information need, t heir problem state and domain work or area of interest in the outline of structure and casualties. This poly-representational approach leads to cognitive process which is multitasking in the way of perception, attention, interpretation, understanding and remembrance of human behaviour interaction. With the help of implementation techniques of relevance feedback which validate and provide reliability metrics to calculate user behaviour using knowledge domain visualization, Training frameworks provide users how to proceed in searching and retrieving information. Keywords - Cognitive Information Retrieval, Human Behavior Interaction, Multitasking, Poly-representation. COGNITIVE SCIENCE Cognitive Science is the multidisciplinary scientific research area where neuroscience, artificial Intelligence, philosophy, psychology, linguistics, anthropology, sociology, and education [1, 16] emphasis on human brain emotions, intelligence and behavior and focuses on the information. It represents the processed information in terms of perception, language and memory reasoning within the human nervous system and machines like computers, robots, inference engine. It helps in analyzing from low level learning to high level decision making and planning. COGNITIVE INFORMATICS Cognitive Informatics (CI) inherited form the field of cognitive science and informatics. CI provides the conceptual theories and mathematical computations which lays the foundation for knowledge based science and engineering like mechanical, electrical, electronics and computer engineering [3]. It forms computational systems which are capable enough to unify the processed information and patterns that explain the structure and organization of communicative information. CI objective is to implement engineering solutions like text, data mining and web, communicative robots, multimedia, multimodal interactive systems, real time or virtual environment for the purpose of distributed collaborative work [14] COGNITIVE INFORMATION RETRIEVAL (CIR) CIR is an interdisciplinary area of study that includes research from information science to cognitive science which helps to interact with the human computer on the basis of human factors. CIR is conceptualized as complex human information related human computer interaction processes that are embedded within an individual’s everyday social and life context. CIR is an important part of the human information condition and critical to the development of new approaches to the design of Web and IR systems. Presently, Information Retrieval (IR) research originates from three separate fields: information science, computer science and contributions from the field of social science. [3] However, the three communities do not really communicate with each other, and use different methodologies. The authors examine these different methodologies in terms of dependent, independent and controlled for variables. As IR serves the goals of seeking information which primarily serves the goals of the user’s work task (or other interest), and the authors suggest a possible area of reconciliation in the context or task for the user’s information search [3]. Emerging frameworks, models and theories are providing a more complex view of CIR that includes multitasking, relevance feedback, Human Information Behavior (HIB), longitudinal process models and visualization techniques [3] Researchers and students in the fields of information science, computer science, cognitive science, human factors and related disciplines, and scholars investigating CIR for their respective research work and researchers are thinking more