CLC number: TP39
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-07-03
Cited: 0
Clicked: 1701
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0002-0407-1522
https://orcid.org/0000-0003-4940-2812
Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG. A new focused crawler using an improved tabu search algorithm incorporating ontology and host information[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(6): 859-875.
@article{title="A new focused crawler using an improved tabu search algorithm incorporating ontology and host information",
author="Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="6",
pages="859-875",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200315"
}
%0 Journal Article
%T A new focused crawler using an improved tabu search algorithm incorporating ontology and host information
%A Jingfa LIU
%A Zhen WANG
%A Guo ZHONG
%A Zhihe YANG
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 6
%P 859-875
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200315
TY - JOUR
T1 - A new focused crawler using an improved tabu search algorithm incorporating ontology and host information
A1 - Jingfa LIU
A1 - Zhen WANG
A1 - Guo ZHONG
A1 - Zhihe YANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 6
SP - 859
EP - 875
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200315
Abstract: To solve the problems of incomplete topic description and repetitive crawling of visited hyperlinks in traditional focused crawling methods, in this paper, we propose a novel focused crawler using an improved tabu search algorithm with domain ontology and host information (FCITS_OH), where a domain ontology is constructed by formal concept analysis to describe topics at the semantic and knowledge levels. To avoid crawling visited hyperlinks and expand the search range, we present an improved tabu search (ITS) algorithm and the strategy of host information memory. In addition, a comprehensive priority evaluation method based on Web text and link structure is designed to improve the assessment of topic relevance for unvisited hyperlinks. Experimental results on both tourism and rainstorm disaster domains show that the proposed focused crawlers overmatch the traditional focused crawlers for different performance metrics.
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