A scalable comparison-shopping agent for the World-Wide Web
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Ontologies for Enterprise Knowledge Management
IEEE Intelligent Systems
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Machine learning of user profiles: representational issues
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
| Hi-index | 0.00 |
The disordered way of the Web information organization has seriously hindered the knowledge sharing and interoperability, this paper presents a knowledgeoriented Web page automatic acquisition system (AKAS2WP). This system includes four core modules, and they are accessing of web pages, text extraction, the management and organizations of the concept and the attribute extraction of the concept. Accessing of Internet web pages is to download Web pages form certain site, saves and uses for web analytics, and text extraction filter module format Html document control symbols, to get a plain text file. Meanwhile, the management and organizations of the concept and the attribute extraction of the concept, respectively, obtains terminology of given certain domain, and get the terms' description of the structure of property and structure of domain ontology. This system can be directly applied to the relevant field of automatic knowledge acquisition, so as to enhance the efficiency and accuracy of knowledge acquisition.