Odaies: Ontology-driven Adaptive Web Information Extraction System

Authors:
Ning Zhang;Hong Chen;Yu Wang;Shi-Jun Cheng;Ming-Feng Xiong
Affiliations:
-;-;-;-;-
Venue:
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Year:
2003

Citing 0
Cited 3

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Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies

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Abstract

This paper proposes an ontology-driven self-adapting approach insemi-structure web information extracting field, where ontologyprovides semantic support and plays a central role during theextraction process. It excels traditional wrapper systems atadaptiveness and maintenance. Firstly, we build a domain-dependantontology. Then we design three templates generating algorithms,which have self-adaptiveness and self-maintenance based on theontology, to perform the web page information extraction.Experiment results show that our prototype system can achieve 100%recall &97.64% precision.