Data Reconstruction of Abandoned Websites
Iztok Fister Jr.1; Iztok Fister1; Simon Fong2; Yan Zhuang2
2014
Conference Name2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014
Source PublicationProceedings - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014
Pages67-72
Conference Date7-8 Dec. 2014
Conference PlaceNew Delhi, India
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

Nowadays, the Internet offers data to anyone at any time. Websites on the Internet have been warehousing data for many years ago, i.e., for 10 years and more. In the meantime, many websites have became obsolete. This means they no longer have owner because of either they have no-one to maintain them or they have become unavailable for indexing by spiders that retrieves information about documents to be referenced. As a result, these websites are lost for accessing from Internet browsers and are therefore, referred to as abandoned websites. This paper focuses on the problem of how to identify the abandoned websites and how to preserve and reconstruct the data they hold. We have mainly concentrated on abandoned sport websites that, in general, contains very important data about the results achieved at various sporting competitions in the past. The proposed solution consist of four steps: an analysis of the abandoned servers that held these websites, identifying the structure of the abandoned web page sets, web scrapping, and preserving and visualizing these page sets. In order to test prototype solution, some steps were applied in order to reconstruct and preserve the data on the abandoned web servers for tracking the results on running. Additionally, opportunities and challenges of applying data mining techniques on reconstructed website are listed. 

KeywordInternet Reconstruction Abandoned Websites Web Scrapping Data Mining
DOIhttps://doi.org/10.1109/ISCBI.2014.22
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000393510400015
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Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, Maribor; 2000, Slovenia;
2.University of Macau, Faculty of Science and Technology, Macau, Av. Padre Tomas Pereira, Taipa, China
Recommended Citation
GB/T 7714
Iztok Fister Jr.,Iztok Fister,Simon Fong,et al. Data Reconstruction of Abandoned Websites[C]//Institute of Electrical and Electronics Engineers Inc.:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2014:67-72.
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