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Web Page Segmentation Algorithms Based on Clustering
Lengál, Tomáš ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This report deals with segmentation of web pages, which is important discipline of information extraction. In the first part, we describe several general ways to implement it. After that we introduce method Box Clustering Segmentation, which comes with a slightly different approach towards segmentation. In the second half, we describe implementation of this method as a part of framework FITLayout and final testing.
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Page Segmentation in a Web Browser
Zubrik, Tomáš ; Polčák, Libor (referee) ; Burget, Radek (advisor)
This thesis deals with the web page segmentation in a web browser. The implementation of Box Clustering Segmentation (BCS) method in JavaScript using an automated browser was created. The actual implementation consists of two main steps, which are the box extraction (leaf DOM nodes) from the browser context and their subsequent clustering based on the similarity model defined in BCS. Main result of this thesis is a functional implementation of BCS method usable for web page segmentation. The evaluation of the functionality and accuracy of the implementation is based on a comparison with a reference implementation created in Java.
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Page Segmentation in a Web Browser
Zubrik, Tomáš ; Polčák, Libor (referee) ; Burget, Radek (advisor)
This thesis deals with the web page segmentation in a web browser. The implementation of Box Clustering Segmentation (BCS) method in JavaScript using an automated browser was created. The actual implementation consists of two main steps, which are the box extraction (leaf DOM nodes) from the browser context and their subsequent clustering based on the similarity model defined in BCS. Main result of this thesis is a functional implementation of BCS method usable for web page segmentation. The evaluation of the functionality and accuracy of the implementation is based on a comparison with a reference implementation created in Java.
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|
|
Web Page Segmentation Algorithms Based on Clustering
Lengál, Tomáš ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This report deals with segmentation of web pages, which is important discipline of information extraction. In the first part, we describe several general ways to implement it. After that we introduce method Box Clustering Segmentation, which comes with a slightly different approach towards segmentation. In the second half, we describe implementation of this method as a part of framework FITLayout and final testing.
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