
Abstract Finding information on Web is a difficult and challenging task because of the extremely large volume of data. Search engine can be used to facilitate this task, but it is still difficult to cover all the webpages present on Web. This paper proposes a query based crawler where a set of keywords relevant to the topic of interest of the user is used to shoot queries on search interface. These search interfaces are found on webpage of the website corresponding to seed URL. This helps crawler to get most relevant links from the domain without actually going in depth of that domain. No existing focused crawling approach uses query based approach to find webpages of interest. In the proposed crawler, list of keywords is passed to the search query interfaces found on the websites. The proposed work will give the most relevant information based on the keywords in a particular domain without actually crawling through many irrelevant links in between them.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
