ANNOTATING SEARCH RESULTS FROM WEB DATABASE USING IN-TEXT PREFIX OR SUFFIX ANNOTATOR

Abstract

Due to development of web search engines databases towards web reachable widely through HTML based search techniques it is important to extract the necessary information in the form of search result records SRR’s and analysis of the data units returned from the web is also necessary. Commonly the data units which are retrieved from web reachable search engine database is normally prearranged into the end result pages vigorously for personage browsing. In this paper, considering automatic data units assignment used for SRRs pages returned from the novel search engine databases along with usage of in-text prefix/suffix annotation method. To overcome these problems we proposed an automatic semantic annotation method in the course of semantic comparison measure for text units and data unit’s which results from features for the Search results records SRR’s. The features of text and data units are obtained from Particle Swarm Optimization (PSO) techniques for each and every data unit semantic similarities based measurements are measures by extracting important features of the search result records SRR’s. Semantic similarity between the terms in the web pages are measured by the system measures which are based on Ontology, after that aligns the data units in the efficient manner. In the present work we competently analysis the data units and most brilliant alignment of search result records. For the annotation of fresh search result from network search engines for different domains in databases we go to the usage of annotation wrapper.