The Automatic Extraction of Web Information Based on Regular Expression

A teachable semi-automatic web information extraction system based on evolved regular expression patterns

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...

Ontea: Platform for Pattern Based Automated Semantic Annotation

Automated annotation of web documents is a key challenge of the Semantic Web effort. Semantic metadata can be created manually or using automated annotation or tagging tools. Automated semantic annotation tools with best results are built on various machine learning algorithms which require training sets. Other approach is to use pattern based semantic annotation solutions built on natural lang...

Data Extraction using Content-Based Handles

In this paper, we present an approach and a visual tool, called HWrap (Handle Based Wrapper), for creating web wrappers to extract data records from web pages. In our approach, we mainly rely on the visible page content to identify data regions on a web page. In our extraction algorithm, we inspired by the way a human user scans the page content for specific data. In particular, we use text fea...

Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressions

Data Extraction from the World Wide Web is a well known, non solved, and a critical problem when complex information systems are designed. These problems are related to the extraction, management and reuse of the huge amount of Web data available. These data have usually a high heterogeneity, volatility and low quality (i.e. format and content mistakes), so it is quite hard to build realible sy...