A Hybrid Approach for Extracting Web Information

Presenting a method for extracting structured domain-dependent information from Farsi Web pages

Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...

A Hybrid Method for Extracting Deep Web Information

Some previous works show that more than 60% of the information available on the Web is located in Deep Web database. Such information cannot be directly indexed by search engines.In this paper, a hybrid method, which is composed of a domain model and a block importance model is proposed to extract information in Deep Web.The domain model is used for classifying and identifying whether a form is...

A Hybrid Context Based Approach for Web Information Retrieval

Information retrieval mechanisms from the web are a great need of the hour as the amount of the content is growing dynamically every day. There are many algorithms which have been proposed in literature mainly relying on the output of the search engines. These algorithms are either content based or snippet based and perform a clustered outcome re-ranking of the content for the user. This work p...

Hybrid Approach for Web-based Diary Information System Development

NIE: An Approach for Extracting Information from Narrative Web Information Sources

The World Wide Web (WWW) has become an indispensable repository of valuable information on a wide range of different subjects. However many web information sources (WISs) present their information in a semi-structured format, which made it uneasy to directly extract and manipulate the information. Consequently, there have been many attempts to develop some approaches that can automatically gene...