Noise data of web page is easy to cause the topic drift problem in web information extraction. To improve the accuracy of web information extraction effectively, a novel calculation method of mixing entropy is presented, which can more accurately reflect the topic information of web page. The information block is discussed under the multi-page site environment. The impacts of information within...

Web information extraction is the key part of web data integration. With the need of e-commerce website and the development of web design, web pages with multiple presentation templates arise. The current web information extraction systems are usually based on single presentation template, so web pages with multiple presentation templates can’t be extracted efficiently. This paper focuses on th...

Web Data Extraction is a critical task by applying various scientific tools and in a broad range of application domains. To extract data from multiple web sites are becoming more obscure, as well to design of web information extraction systems becomes more complex and time-consuming. We also present in this paper so far various risks in web data extraction. Identifying data region from web is a...

This paper outlines our approach to the creation of annotated corpora for the purposes of Web Information Extraction, and presents the Web Annotation tool. This tool enables the annotation of Web pages from different domains and for different information extraction tasks providing a user-friendly interface to human annotators. Annotated information is stored in a representation format that can ...

The vast amount of online information available has led to renewed interest in information extraction (IE) systems that analyze input documents to produce a structured representation of selected information from the documents. Information extraction from semistructured documents has been studied extensively recently. Most researches focus on supervised learning approaches where targets must be ...

Abstract. The World Wide Web is an enormous and a growing source of information presented in a human friendly language called Html. Unfortunately, querying and accessing this information by software agents is not an easy task, so web information extractors are used. Currently, there is a variety of algorithms to build web information extractors, but none of them is universally applicable. There...

Extracting useful entities and attribute values from illicit domains such as human trafficking is a challenging problem with the potential for widespread social impact. Such domains employ atypical language models, have ‘long tails’ and suffer from the problem of concept drift. In this paper, we propose a lightweight, feature-agnostic Information Extraction (IE) paradigm specifically designed f...

An important aspect of research for Web information extraction relates to the inference of complex reasoning and correlation based on distributed information available in many different Web data sources. By defining the semantics of information and services available on the Web, the World Wide Web becomes a vast store of information that can be easily processed by computer applications. Semanti...