click here to download project abstract
click here to download project abstract
ABSTRACT
Despite the fact that their citation counts may be low, Researchers frequently examine Google Scholar (GS), Web of Science & Scopus, which are all used in research reviews.. From 252 Google Scholar subject categories there are 2,299 documents which have 2,448,055 citations in 2006. When GS, WoS and Scopus are compared then it is found that Among all areas, GS has the highest percentage of citations, approximately 67%-96% whereas Scopus has 35%-77% and WoS has 27%-73%. In GS, About 48% to 65% of citations came from non-journal sources such as books, conference papers, and unpublished papers. A further 19%-38% are non-English, and they tend to be less frequently cited than those in Scopus and WoS . So to extract the data from these publication sources we use web scrapping and web crawling. In this paper we will discuss The crawler shoots queries on the search interface by using keywords related to a user’s topic of interest. This allows crawlers to gather links relevant to a particular domain without actually having to dig into the root domain of the domain. The proposed work provides the most pertinent information on a specific domain based on keywords without crawling through a large number of irrelevant links between them. The information from web is found by search engine. These search engines are
of two types – human powered and crawler based. This user-generated search engine brings together a collection of high-quality websites that have been hand-picked by users. In a crawler-based search engine, three components are involved: A search-ranking algorithm, a crawler, and an indexer.
