Development of Web Annotation Technique for Search Result Records Using Web Database

This paper work investigates the needs which web users has to make annotations for their private as well as public use when they access the web pages. Web annotation has become an ongoing research issue since the invention of technologies such as HTML, XML, and Wiki.A Web annotation is an online annotation that deals with a web page. Semantic web and semantic data is related with integration scenario which defines the metadata construction methods. Web database helps to generate query result pages or search result records based on a user´s query. A typical result page returned from a web database(WDB)has multiple search result records (SRRs). To get the web extracted records, SRRs to be a machine process able which is frequently useful for deep web data collection, online reading, and online shopping and have meaningful labels. In this paper, we have proposed exploratory automatic annotation techniques by making the use of automatically generated wrapers. Annotation technique firstly forms a group of data units on search result record such that same semantic will be assigned to data of a similar group by using multi-data alignment algorithm. Then we will annotate the every group which will be further aggregated to achieve the ultimate annotation label for the automatic wrapper generation purpose. These wrappers are used to generate annotations for new search result pages of the same database. Experiments will show that our proposed technique is efficient.