Prototype Model Agent-Based Search Engine for Researchers and Scientists

Naveed Dastgir

doi:10.22610/jevr.v3i6.69

Abstract

Now days, the Word Wide Web (WWW) covers most of the information channels across the world and is the cheapest resource to publish the corporate as well as individual information. The key advantage of WWW is that the published information instantly becomes available around the globe. Since the information load on the Internet is increasing day by day, therefore, it is causing serious troubles for the researchers and scientists to retrieve the targeted and relevant information from the huge bulk of data. While surfing the Internet, precious time of researchers and scientists is wasted due to browsing of the irrelevant and unnecessary material. Such an approach of information retrieval results in overlooking the important contents. In this paper, we look into the elementary components of a customized search engine in order to develop an agent-based search engine tool that may help researchers and scientists to find their desired information in an efficient manner and with minimal clicks of pointer. Through this tool, the researchers and scientists will be able to find a summarized report against their search phrase along with the search details, which will provide them a solid background to their research subject based on history available on the WWW. The important aspect of this search engine is that it retrieves the subject-specific material from the designated websites in accordance with the user-defined criteria.

Highlights

Online academic and research resources are increasing day by day on the World Wide Web (WWW) and this huge amount of information that could add up the knowledge of researchers/scientists in their specific area of interest raises new challenges for researchers/scientist
Reporting: Reporting is the core part of search engine and is responsible for arranging the search results in a precise manner
This search engine model proposed in this paper is meant for facilitating researchers and scientists to fetch the most relevant material from the net in accordance with the context of their search query

Summary

Introduction

Online academic and research resources are increasing day by day on the World Wide Web (WWW) and this huge amount of information that could add up the knowledge of researchers/scientists in their specific area of interest raises new challenges for researchers/scientist. The idea to develop an agent-based search engine for researchers and scientist is based on the concept that it would be capable to produce the summery report against the query generated by the researcher/scientist in accordance with the context of his/her area of interest along with the geographical location related to the sought information. The search engine sorts the information according to location, technology, institution and research centers etc This approach may help researchers to find the gaps and the perspective future work in a specific research area along with the available/existing knowledge. The related work appeared in the contemporary research is summarized in section VII and the final section elaborates the prospective future work and concludes the research work

Search Crawler and Spider

Results

Conclusion and Future Work