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Http://ftp.informati K.rwth-aachen.de/Pub Lications/CEUR-WS/Vo L-292/paper8.pdf

paper8.pdf
Preview of http://ftp.informati k.rwth-aachen.de/Pub lications/CEUR-WS/Vo l-292/paper8.pdf
🔗 Source: ftp.informatik.rwth-aachen.de
📊 Size: 193 KB
👤 Author: Philippe Cudre-Mauroux
⬇️ Downloads: 33

Summary

Principles and Case Study. Researchers propose a self-organizing multi-agent system, Dynamo, to create and maintain ontology drafts from automatic text processing, addressing the challenge of frequent ontology updates in the Semantic Web. Dynamo enables collaborative ontology construction with domain experts, combining advances in ontology learning from texts and adaptive agent programming. The system creates a draft ontology from text, which is then refined through interaction with a domain expert, allowing for continuous updates and improvements.

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Principles and Case Study.

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  • File Format: PDF
  • File Size: 193 KB
  • Pages: 14
  • Language: EN
  • Author: Philippe Cudre-Mauroux
  • Total Downloads: 33
  • Last Updated: 4 hours ago

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