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International Journal of Computer Science Engineeringand Information Technology Research (IJCSEITR)ISSN 2249-6831Vol.2, Issue 2 June 2012 57-63WEB INFORMATION EXTRACTION USING DEPTAA.SURESH BABUI1SADIA NAUREEN2M.UMAMAHESWARA RAO3G.SIRISHA4Assistant Professor, Department of Computer Science and Engineering,JNTU- Pulivendula, AP, India.2,3,4B.Tech(4-2), Department of Computer Science and Engineering,JNTU- Pulivendula, AP, India.ABSTRACTInformation extraction (IE) is a type of information retrieval whose goal is to automatically extractstructured information from unstructured or semi-structured machine-readable documents. It producesstructured data ready for post-processing which is crucial to many applications of web mining andsearching tools. Information extraction systems are software tools which are designed to generatewrappers. A wrapper usually performs a pattern matching procedure which relies on a set of extractionrules. These are classified into four classes which are manually-constructed, supervised, semi-supervisedand unsupervised IE systems. Unsupervised IE systems do not use any labeled training examples andhave no user interactions to generate a wrapper. DEPTA (Data Extraction Based on Partial TreeAlignment) is one of the unsupervised IE system that is designed for record-level extraction task. Theobjective is to segment the data records, extract data items or data fields from them and put them in adatabase table. Depta consists of

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