Template-based wrappers in the TSIMMIS system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A scalable comparison-shopping agent for the World-Wide Web
AGENTS '97 Proceedings of the first international conference on Autonomous agents
A hierarchical approach to wrapper induction
Proceedings of the third annual conference on Autonomous Agents
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
IEEE Intelligent Systems
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Rule identification from web pages by the XRML approach
Decision Support Systems
Architecture and performance of the rule based comparison shopping: delivery cost experience
Proceedings of the 10th international conference on Electronic commerce
Rule identification from Web pages by the XRML approach
Decision Support Systems
Rule-based personalized comparison shopping including delivery cost
Electronic Commerce Research and Applications
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This paper presents a scheme of knowledge-based wrapper generation for semi-structured and labeled documents. The implementation of an agent-oriented information extraction system, XTROS, is described. In contrast with previous wrapper learning agents, XTROS represents both the domain knowledge and the wrappers by XML documents to increase modularity, flexibility, and interoperability. XTROS shows good performance on several Web sites in the domain of real estate, and it is expected to be easily adaptable to different domains by plugging in appropriate XML-based domain knowledge.