A Web navigation tool for the blind
Assets '98 Proceedings of the third international ACM conference on Assistive technologies
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Automatic information extraction from large websites
Journal of the ACM (JACM)
IEEE Intelligent Systems
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Towards a semantic web layered architecture
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Open information extraction from the web
Communications of the ACM - Surviving the data deluge
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Development and Application of Knowledge Engineering Based on Ontology
WKDD '10 Proceedings of the 2010 Third International Conference on Knowledge Discovery and Data Mining
Information Sciences: an International Journal
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As the internet grows rapidly, millions of web pages are being added on a daily basis. The extraction of precise information is becoming more and more difficult as the volume of data on the internet increases. Several search engines and information fetching tools are available on the internet, all of which claim to provide the best crawling facilities. For the most part, these search engines are keyword based. This poses a problem for visually impaired people who want to get the full use from online resources available to other users. Visually impaired users require special aid to get along with any given computer system. Interface and content management are no exception, and special tools are required to facilitate the extraction of relevant information from the internet for visually impaired users. The HOIEV (Heavyweight Ontology Based Information Extraction for Visually impaired User) architecture provides a mechanism for highly precise information extraction using heavyweight ontology and built-in vocal command system for visually impaired internet users. Our prototype intelligent system not only integrates and communicates among different tools, such as voice command parsers, domain ontology extractors and short message engines, but also introduces an autonomous mechanism of information extraction (IE) using heavyweight ontology. In this research we designed domain specific heavyweight ontology using OWL 2 (Web Ontology Language 2) and for axiom writing we used PAL (Protégé Axiom Language). We introduced a novel autonomous mechanism for IE by developing prototype software. A series of experiments were designed for the testing and analysis of the performance of heavyweight ontology in general, and our information extraction prototype specifically.