NDLI: Proposal of Seam Degree and Content Similarity for Web Page Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Jun Zeng Flanagan, B. Qingyu Xiong Junhao Wen Hirokawa, S.
Copyright Year	2013
Description	Author affiliation: Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan (Hirokawa, S.) \|\| Grad. Sch. of Inf., Kyushu Univ., Fukuoka, Japan (Jun Zeng; Flanagan, B.) \|\| Grad. Sch. of Software Eng., Chongqing Univ., Chongqing, China (Qingyu Xiong; Junhao Wen)
Abstract	Page segmentation has received great attention in recent years. However, most research has been based on some pre-defined heuristics or visual cues which may be not suitable for large-scale page segmentation. In this paper, we proposed two parameters: seam degree and content similarity, to indicate the coherent degree of a page block. Instead of analyzing pre-defined heuristics or visual cues, our method utilizes the visual and content features to determine whether a page block should be divided into smaller blocks. We also proposed a principled page segmentation method using these two parameters. An experiment was conducted to determine the relationship between the two parameters and the number of segment results. The empirical results also show that our segmentation method can effectively segment a page into different semantic parts.
Starting Page	9
Ending Page	14
File Size	407308
Page Count	6
File Format	PDF
ISBN	9781479921348
e-ISBN	9780769550718
DOI	10.1109/IIAI-AAI.2013.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Semantics Web pages Seam degree Educational institutions HTML Vectors Finite element analysis Page segmentation Content similarity Semantic segment
Content Type	Text
Resource Type	Article

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