Call For Paper Volume:4 Issue:10 Oct'2017 |

Self Adaptive Semantic Focused Crawler

Publication Date : 04/01/2016

Author(s) :

Surekha A Rikame , Prof. S.V.Chobe.

Volume/Issue :
Volume 2
Issue 12
(01 - 2016)

Abstract :

Searching on web has a significant impact due to availability of abundant data. As each user perspective is vary from time to time and from topic to topic, instead of their relevance pages for any search topic, the results are huge to be explored. A focused crawler may be described as a crawler which returns relevant web pages on a given topic in traversing the web. The basic task of web crawler is to browse the data from the internet for web indexing.  Basically the process of ontology is done in the mining process of structured and unstructured data.  In the process of ontology data is not mine on using crawler without keywords in Meta directory.  For overcome this problem different researcher work on different web crawling algorithms. This survey is focused on various web crawling algorithms. As per literature, system need to develop a focused crawler to retrieve documents related to a given topic of interest, reducing the network and computational resources.

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Self Adaptive Semantic Focused Crawler

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