Getting Bulk Data Through Google: An empirical study
| dc.contributor.author | Shama Rani | |
| dc.contributor.author | Jaiteg Singh | |
| dc.date.accessioned | 2026-01-13T09:26:01Z | |
| dc.date.available | 2026-01-13T09:26:01Z | |
| dc.date.issued | 2016-10 | |
| dc.description.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. | |
| dc.identifier.issn | 0976-545X | |
| dc.identifier.issn | 2456-3226 | |
| dc.identifier.other | https://doi.org/10.15415/jtmge.2016.72006 | |
| dc.identifier.uri | https://demodspace.chitkara.edu.in/handle/123456789/413 | |
| dc.language.iso | en | |
| dc.publisher | Chitkara University Publications | |
| dc.subject | Web crawling | |
| dc.subject | indexing | |
| dc.subject | page ranking | |
| dc.subject | retrieve pdf documents | |
| dc.subject | query processing | |
| dc.subject | search engine implementation | |
| dc.subject | web search | |
| dc.title | Getting Bulk Data Through Google: An empirical study | |
| dc.type | Article |