Towards building logical views of websites

Information presented in a Website is usually organized into certain logical structure that is intuitive to users. It would be useful to model websites with such logical structure so that extraction of Web data from these sites can be performed in a simple and efficient manner. However, the recognit...

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Main Authors: LIM, Ee Peng, LIU, Zehua, NG, Wee-Keong, LI, Feifei
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/43
http://doi.org/10.1016/j.datak.2003.10.004
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-10422018-06-25T06:15:28Z Towards building logical views of websites LIM, Ee Peng LIU, Zehua NG, Wee-Keong LI, Feifei Information presented in a Website is usually organized into certain logical structure that is intuitive to users. It would be useful to model websites with such logical structure so that extraction of Web data from these sites can be performed in a simple and efficient manner. However, the recognition and reconstruction of such logical structure by software agent is not straightforward due to the complex hyper-link structure among webpages and the HTML formatting within each webpage. In this paper, we propose the WICCAP Data Model, a data model that maps websites from their physical structure into commonly perceived logical views. To enable easy and rapid creation of such data models, we have implemented a visual tool, called the Mapping Wizard, to facilitate and automate the process of producing WICCAP Data Models. Using the tool, the time required to construct a logical representation for a given Website is significantly reduced. 2004-05-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/43 info:doi/10.1016/j.datak.2003.10.004 http://doi.org/10.1016/j.datak.2003.10.004 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
LIM, Ee Peng
LIU, Zehua
NG, Wee-Keong
LI, Feifei
Towards building logical views of websites
description Information presented in a Website is usually organized into certain logical structure that is intuitive to users. It would be useful to model websites with such logical structure so that extraction of Web data from these sites can be performed in a simple and efficient manner. However, the recognition and reconstruction of such logical structure by software agent is not straightforward due to the complex hyper-link structure among webpages and the HTML formatting within each webpage. In this paper, we propose the WICCAP Data Model, a data model that maps websites from their physical structure into commonly perceived logical views. To enable easy and rapid creation of such data models, we have implemented a visual tool, called the Mapping Wizard, to facilitate and automate the process of producing WICCAP Data Models. Using the tool, the time required to construct a logical representation for a given Website is significantly reduced.
format text
author LIM, Ee Peng
LIU, Zehua
NG, Wee-Keong
LI, Feifei
author_facet LIM, Ee Peng
LIU, Zehua
NG, Wee-Keong
LI, Feifei
author_sort LIM, Ee Peng
title Towards building logical views of websites
title_short Towards building logical views of websites
title_full Towards building logical views of websites
title_fullStr Towards building logical views of websites
title_full_unstemmed Towards building logical views of websites
title_sort towards building logical views of websites
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/43
http://doi.org/10.1016/j.datak.2003.10.004
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