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

Dynamic Annotating SRRs from Web Databases using Naïve Bayes

Publication Date : 10/07/2015

Author(s) :

Ms. Nikita P. Rane , Prof. Dinesh D. Patil.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

Web Databases are progressively accessible through HTML source based search engines. The knowledge or data units that are excavated from databases are generally encoded dynamically for the purpose of human browsing. Data units that are dynamically encoded are essential for multiple applications like comparison shopping, web resource rating and for deep web collection. A web user whenever submits a query, he is returned with number of SRRs which are needed to be extracted and collected at one place under their respective semantic labels. In this paper, a survey is conducted on different previous efforts taken to extract the data from multiple SRRs and to annotate them. Also the proposed system enhanced with Naïve Bayes machine learning is discussed which allows to extract the data units from SRRs , assign semantic labels to the extracted data units and to accurately align the data under their respective semantic labels. General Terms:Information retrieval, classification.

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