Extracting Structured Data from Web Pages (Poster)

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...

Web Entities Extraction Based on Semi-Structured Semantic Database

Web is the biggest source of information and contains many entities and relationships between them, extracting these data from Massive Web pages and Integrating to a Semi-Structured Data with rich semantics will be more conducive to the management and use of these web data. On this premise, a comprehensive method is proposed to perform extraction the entities and relationships from the webpages...

Dynamic Vision-Based Approach in Web Data Extraction

The problem of extracting data records on the response pages returned from web databases or search engines. World Wide Web has posed a challenging problem in extracting relevant data. Traditional web crawlers focus only on the surface web while the deep web keeps expanding behind the scene. Deep web pages are created dynamically as a result of queries posed to specific web databases. Extracting...

A Framework for Extracting, Classifying, Analyzing, and Presenting Information from Semi-Structured Web Data Sources

Extracting information from the web data sources becomes very important because the massive and increasing amount of diverse semi-structured information sources in the Internet that are available to users, and the variety of web pages making the process of information extraction from web a challenging problem. This paper proposes a framework for extracting, classifying, analyzing, and presentin...

Extracting Structured Data from Web Pages