A scalable comparison-shopping agent for the World-Wide Web
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Record-boundary discovery in Web documents
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Multistrategy Learning for Information Extraction
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
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At present, the scale and diversity of Web information are immense. Acquiring Web information simply relies on search engine which is increasingly unable to meet user needs, thus Web information extraction (WebIE) technology attracts widely attentions. In this paper, a framework of distributed multi-slot WebIE system based on agent is proposed. It includes user agent, mediator agent, wrapper agent, data store agent, page preprocessing agent and corresponding knowledge base. The agents communicate each other and cooperate together to carry out the general goal of the system. Moreover, aiming at multi-slot extraction, the approaches of extraction rule learning and repair are presented, which enable to enhance adaptability of the system.