Deep web respond to a user query result records encoded in HTML files. Data extraction and data annotation, which are important for many applications, extracts and annotates the record from the HTML pages. We proposed an domain-specific ontology based data extraction and annotation technique; we first construct mini-ontology for specific domain according to information of query interface and qu...

A constantly growing amount of information is available through the web. Unfortunately, extracting useful content from this massive amount of data still remains an open issue. The lack of standard data models and structures forces developers to create adhoc solutions from the scratch. The figure of the expert is still needed in many situations where developers do not have the correct background...

Information extraction (IE) from semi-structured Web documents plays an important role for a variety of information agents. Over the past few years, researchers have developed a rich family of generic IE techniques based on supervised approaches which learn extraction rules from user-labelled training examples. However, annotating training data can be expensive when thousands of data sources ne...

Web Usage Mining is an important type of Web Mining, which deals with extraction of interesting knowledge from the web log files. The lots of research has done in this field but basically this paper emphasize on user future next request prediction using web log record, click streams record and user information. The aim of this paper is to provide past, current evaluation and update in web usage...

Web database is nothing but online database which generates query result based on user’s result. From the query result, extract the data from many application i.e., data integration which need cooperate with multiple web application. CTVS is the method for novel data extraction, which is used to extract the data automatically from query result pages (QRP). Firstly identifying and segmenting the...

Clustering is a data mining (machine learning) technique used to place data elements into related groups without advance knowledge of the group definitions. Data Extraction is the process of retrieving data out of data sources. Establishment of an updated method called a novel data extraction and alignment method called CTVS that combines both tag and value similarity enhances the efficiency of...

The data extraction from the dynamically generated web pages is a challenging factor because the result of the search engines are always different for every query submitted. Many techniques were proposed to address this issue but most of them have the common problem of language-dependency. In order to overcome the limitations of previous works, there are few ways which analyze visual features o...

This thesis focuses on the extraction and analysis of Web data objects, investigated from different points of view: temporal, structural, semantic. We first survey different strategies and best practices for deriving temporal aspects of Web pages, together with a more in-depth study on Web feeds for this particular purpose, and other statistics. Next, in the context of dynamically-generated Web...