State of the Art in Semantic Focused Crawlers

Authors:
Hai Dong;Farookh Khadeer Hussain;Elizabeth Chang
Affiliations:
Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia 6845;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia 6845;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia 6845
Venue:
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Year:
2009

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Abstract

Nowadays, the research of focused crawler approaches the field of semantic web, along with the appearance of increasing semantic web documents and the rapid development of ontology mark-up languages. Semantic focused crawlers are a series of focused crawlers enhanced by various semantic web technologies. In this paper, we make a survey in this research field. We discover eleven semantic focused crawlers from the existing literature, and classify them into three categories --- ontology-based focused crawlers, metadata abstraction focused crawlers and other semantic focused crawlers. By means of a multi-dimensional comparison, we conclude the features of these crawlers and draw the overall state of the art of this field.