Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
A Roadmap to Ontology Specification Languages
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
| Hi-index | 0.00 |
The semantic Web will bring meaning to the Internet, mak - ing it possible for web agents to understand the information it contains. However, current trends seem to suggest that it 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 extraction of semantically-meaningful information from the current web. Separating the extraction process from the business logic of an agent enhances modularity, adaptability, and maintainability. Our approach is novel in that it combines different technologies to extract information, surf the web and automatically adapt to some changes.