Self-Adaptive Ontology based Focused Crawler for Social Bookmarking Sites

Aamir Khan and Dilip Kumar Sharma
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Aamir Khan: GLA University, Mathura, India
Dilip Kumar Sharma: GLA University Mathura, India

International Journal of Information Retrieval Research (IJIRR), 2017, vol. 7, issue 2, 51-67

Abstract: It is not possible for one person to explore or surf all the relevant websites pre-training to his/her topic. A user might not be able to get the results that he/she expects from the search engine but another user might have some knowledge about some website containing the information about the first user's topical query. Users share their information on a common sharing platform known as SBS (Social Bookmarking Sites). In SBS a user posts a question seeking some knowledge about a certain topic, and then the people who have some knowledge about any website related to the query topic post the URLs of the website. This paper presents a novel method to verify the authenticity and validity of the URL posted in the SBS. The performance of our method is further increased by using a dictionary based learning methodology that finds the contextually similar words that are added to the Ontology.

Date: 2017
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