International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 56 | Number 1 | Year 2018 | Article Id. IJCTT-V56P110 | DOI : https://doi.org/10.14445/22312803/IJCTT-V56P110

Browser Extension for Top-k Instance Retrieval

Google Search Engine API, HTML Parser, Levenshtein Algorithm.

Citation :

Google Search Engine API, HTML Parser, Levenshtein Algorithm., "Browser Extension for Top-k Instance Retrieval," International Journal of Computer Trends and Technology (IJCTT), vol. 56, no. 1, pp. 64-66, 2018. Crossref, https://doi.org/10.14445/22312803/IJCTT-V56P110

Abstract

Cloud computing has appearing as a pattern for data outsourcing with high quality data services. This concept represents one of the most important shifts in information technology many of us are likely to see in our daily life. Cloud computing has rising as a encouraging pattern for knowledge outsourcing and prime quality knowledge services. Using Cloud Storage, users can remotely store their data and enjoy on-demand high quality applications and services. Cloud computing gives the services for on demand users. On demand services distribution perform with outsourcing operations. This paper is deal with information extricate from top-k web pages, which are web pages that describe top k instances of a topic which is of general interest. Examples include “the 10 flowers in the world”, “top 10 cricketers in India” etc. In this paper, we present a systematic method that extracts top-k lists from web pages with high performance. Cloud computing is the technology, in which storage and return of sensitive data information are increased in usage.

Keywords

Google Search Engine API, HTML Parser, Levenshtein Algorithm.

References

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