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Year : 2015, Volume : 6, Issue : 3
First page : ( 144) Last page : ( 153)
Print ISSN : 2249-3212. Online ISSN : 0975-8089. Published online : 2015  1.
Article DOI : 10.5958/0975-8089.2015.00018.4

Cognitive Information Mapping Model for Web-based Search

Gulati Neha1,*, Garg Atul2,**

1Research Scholar, M.M. Institute of Computer Technology & Business Management, MM University, Mullana, Ambala, India

2Associate Professor, M.M. Institute of Computer Technology & Business Management, MM University, Mullana, Ambala, India

*(*Corresponding author) Email id: *nehagulati_pu@rediffmail.com



The tremendous growth in the Web-based activities of the user has led to the explosion of information on the Web. Searching the relevant information from such a massive repository poses several challenges for the user involved in the query-based search process. Search engines form the backbone for Web-based information retrieval. They present the Web pages (resources) based on the page relevancy to the query, popularity of the page and content. They disregard the user context and emotions experienced by the user during the search process. A personalised search support is desired to reduce cognitive burden on the user. Thus, it would be interesting and useful to provide search suggestions based on the context and emotions. In this paper, a Cognitive Information Mapping Model (CIMM) has been proposed to assist the user during the search process. This model maps the information about the user's cognitive style including Web-based activities and emotions. It provides suggestions based on queries searched, resources accessed and emotions experienced during the search. CIMM also guides the user to identify resources based on their utilisation, thus constraining the user from repeated access of similar resources and those tagged as useless.



BDI, Cognitive Information Mapping Model (CIMM), Cognitive style, Emotions, Search engine.


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