earticle

영어

The World Wide Web (WWW) comprises enormous websites located around the world, and it is the cheapest source to publish information that instantly becomes accessible across the globe. The information available on the Internet is invariably increasing on the daily basis, which in turn is resulting in serious challenges for the researchers to retrieve the relevant information from huge bulk of data. The precious time of researchers and scientists goes wasted as they have to sift through massive amount of irrelevant and unnecessary material returned by the conventional search engines. Due to this fact, the task of searching focused and relevant material has become a tedious activity in the information retrieval process over the Internet. This very unfocused and nonspecific type of the Internet surfing often results in overlooking the important contents due to monotonous and sloppy structure of the retrieved information, in addition to the tiresomeness and grimness it causes to the end user. In this paper, we present a framework for multi-agent based search engine tool that can help the researchers to find their desired information in an efficient way and with the minimal pointer clicks. Through this methodology, the researchers would be able to obtain a summarized report along with the search details that closely match to the supplied search phrases. The same summary report can also be generated based on the research topics inscribed in the researchers’ profile or based on the history of their previous WWW usage.