IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICES
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.7, No. 3)Publication Date: 2016-06-28
Authors : RAKESH SHASTRI SHUBHAM AGE; TUSHAR INDORKAR; SHITAL KOKATE; MANISHA SHITOLE;
Page : 47-54
Keywords : Ontology Learning; Web Crawler; Heterogeneity; Ubiquity; Ambiguity; Computer engineering; iaeme; research; IJCET; journal article; research paper; open access journals; international journals;
Abstract
As we know there are multiple users and they access various websites and every website contains multiple web pages. It is difficult for the users to find a document that is equal to their needs. Users browse their request by submitting their queries to any search engine like Google or Yahoo and it is has been found that most of the results given by the search engines are irrelevant most of the time. Web crawlers are most of the important components used by a search engine that collects web pages from the web. It is not easy for a crawler to download specific web pages. The ontology, created from the browsing history, was then parsed for the entered search query from users and the corresponding results were returned to the user providing a semantically organized and relevant output. An ontology-based web crawler uses ontological concepts for improving its performance. So it will be easy for the users to get relevant data what as per the user search request. We have focused on self-adaptive semantic focused crawler, SeSM and StSM algorithm.
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Last modified: 2016-07-26 20:35:37