Information exists in every aspect of our life. The expansion of the web has helped to this direction. The web feeds us with enormous information and the widespread use of computers and other hardware appliances has lead us to a state where we have a lot of information in our hands, but many times it is useless. People are not able to find information that they really need but already own. How ...

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that the semantic web is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic ...

123456The increasing amount of freely available healthrelated web content generates, on one hand, excellent conditions for self-education of patients as well as physicians, but on the other hand entails substantial risks if such information is trusted irrespective of low competence or even bad intentions of its authors. This is why medical web resources accreditation by renowned authorities is ...

Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, SCREAM, that allows for creation of metadata and is trainable for a specific domain. Annotating web documents is one of the major techniques for creating metadata on the web. The implementation of S-CREAM, OntoMat supports now the semi-automatic annotation of web pages. This semi-a...

There are many challenges developers face when attempting to reliably extract data from the Web. One of these challenges is the resilience of the extraction system to changes in the web pages information is being extracted from. This article compares the resilience of information extraction systems that use position based extraction with an ontology based extraction system and a system that com...

This chapter is concerned with the methodologies and applications of information extraction. Information is hidden in the large volume of web pages and thus it is necessary to extract useful information from the web content, called Information Extraction. In information extraction, given a sequence of instances, we identify and pull out a sub-sequence of the input that represents information we...

The SEWASIE (SEmantic Webs and AgentS in Integrated Economies) project (IST-2001-34825) is an European research project that aims at designing and implementing an advanced search engine enabling intelligent access to heterogeneous data sources on the web. In this paper we focus on the Ontology Builder component of the SEWASIE system, that is a framework for information extraction and integratio...