Getting Bulk Data Through Google: An empirical study

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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

Beel, J., Gipp, B. and Wilde, . “Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar & Co.”. Accessible at: http:// www.beel.org/ files/papers/2010-ASEO–preprint.pdf (last accessed 24 August 2012); and Hoyt, Jason.
Mendeley blog. 29 November 2010. Academic SEO – Market (and Publish) or Perish.
Madhu, G., Govardhan, A. and Rajinikanth, T. V. (2011) “Intelligent Semantic Web Search Engines: A Brief Survey” International journal of Web & Semantic Technology (IJWesT) Vol.2, No.1, January 2011.
Prakash, K. S. V. “Concept of Search Engine Optimization in Web Search Engine” International Journal of Advanced Engineering Research and Studies E-ISSN2249–8974.
Dirk Lewandowski “New perspectives on Web search engine research” Lewandowski, Dirk Journal of Technology Management for Growing Economies, Volume 7, Number 2, October 2016 (ed.): Web Search Engine Research. Bingley: Emerald Group Publishing, 2012.
Mike Grehan “How Search Engines Work” 2 publication of Search Engine Marketing: The Essential Best Practice Guide.
Bar-Ilan, J. (2004). The use of web search engines in information science research. In B. Cronin (Ed.), Annual review of information science and technology (Vol. 38, pp. 231- 288).
Medford, NJ: Information Today, Inc Mr.K. Tarakeswar and Ms. D. Kavitha “Search Engines: A Study” Journal of Computer Applications (JCA) ISSN: 0974-1925, Volume IV, Issue 1, 2011.
Mark Levene, “An Introduction to Search Engines and Web Navigation”, John Wiley & Sons, Inc., 2010.
Sergey Brin and Lawrence Page “The Anatomy of a Large-Scale Hyper textual Web Search Engine”.
Tom Seymour “History of Search Engines” International Journal of Management & Information Systems – Fourth Quarter 2011 Volume 15, Number 4. Diana Inkpen “Information Retrieval on the Internet”

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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Periodicity	Biannually
Issue-1	May
Issue-2	November
ISSN Print	0976-545X
ISSN Online	2456-3226
RNI No.	CHAENG/2013/50088

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