Getting Bulk Data Through Google: An empirical study

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Published:

Authors

Shama RaniME Scholar, Chitkara University, India.
Jaiteg SinghProfessor, CURIN Chitkara University, India.

DOI Number
https://doi.org/ https://doi.org/10.15415/jtmge.2016.72002

Keywords
Web crawling, indexing, page ranking, retrieve pdf documents, query processing, search engine implementation, web search

Abstract

To store the information in a database is one of the major tasks. The efficient storage of data is important for future use. Information retrieval is a method of gathering information related to input queries from the various sources or stored databases. To retrieve the information, a search engine plays an important role. A web search engine creates an index to match queries. The quality of information is improved with the help of search engine. For retrieving the information, a search engine comprises some modules such as query processor, a searching and matching function, document processor and page rank capability. This paper focuses on the retrieval of web documents against input queries and stores them in to database. A Google search API can be used to fetch the results. It analyses the data by processing through these modules and downloads the content available in different formats.

References

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How to Cite

Shama Rani, Jaiteg Singh. Getting Bulk Data Through Google: An empirical study. J.Technol. Manag. Grow. Econ.. 2016, 07, 39-48

Getting Bulk Data Through Google: An empirical study

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