We present a general framework for information extraction from web pages based on a special wrapper language, called token-templates. By using token-templates in conjunction with logic programs we are able to reason about web page contents, search and collect facts and derive new facts from various web pages. We give a formal definition for the semantics of logic programs extended by token-temp...

the study deals with the possibility of information loss in web 2.0 due to the interaction between the overload and the real information. using gottesman and preskill method, this investigation has proposed a mechanism to calculate the amount of information transformation in web 2.0. in this proposal, there are three different hilbert spaces that belong to the degrees of freedom of outside, ins...

Document search is generally based on individual terms in the document. However, for collections within limited domains it is possible to provide more powerful access tools. This paper describes a system designed for collections of reports of infectious disease outbreaks. The system, Proteus-BIO, automatically creates a table of outbreaks, with each table entry linked to the document describing...

Sensemaking is the process of analysing complex situations in order to make informed decisions. Semantic Web technology can be effectively used to create new sensemaking systems that focus on concepts and knowledge instead of documents. We demonstrate how this is achieved using information extraction to acquire knowledge and create a semantic repository that can then be semantically searched. A...

Extraction of meaningful content from collections of web pages with unknown structure is a challenging task, which can only be successfully accomplished by exploiting multiple heterogeneous resources. In the Ex information extraction tool, so-called extraction ontologies are used by human designers to specify the domain semantics, to manually provide extraction evidence, as well as to define ex...

This position paper proffers the use of information-extraction ontologies as an approach to semantic understanding for the semantic web. From this perspective, it also issues challenges to the machine learning community to offer solutions for specific problems to aid in semantic understanding.

We investigate the possibility of web information discovery and extraction by means of a modular architecture analysing separately the multiple forms of information presentation, such as free text, structured text, URLs and hyperlinks, by independent knowledge-based modules. First experiments in discovering a relatively easy target, general company descriptions, suggests that web information ca...

This paper proposes a meta-learning framework in the context of information extraction from the Web. The proposed framework relies on learning a meta-level classifier, based on the output of base-level information extraction systems. Such systems are typically trained to recognize relevant information within documents, i.e., streams of lexical units, which differs significantly from the task of...

Previous researches on automatic information extraction experienced difficulties in acquiring and representing useful domain knowledge and in coping with the structural heterogeneity among different information sources. As a result, many real-world information sources with complex document structures could not be correctly analyzed. In order to resolve these problems, this paper presents a meth...

ARTICLE INFO Internet presents a huge collection of useful information so extracting information from web document has become research area for which web data extractors are used. This technique works on two or more web documents generated by same sever side template and learns a regular expression that models it and then used it for extracting data from similar documents. The technique introdu...