Using visual pages analysis for optimizing web archiving

Saâd, Myriam Ben; Gançarski, Stéphane

doi:10.1145/1754239.1754287

Cited by 16 publications

(7 citation statements)

References 16 publications

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“…et al [21] uses VIPs algorithm to identify if the change in the page is important for archiving or not. Their work aims to enhance the efficiency of web page archiving.…”

Section: Vision-based Approachmentioning

confidence: 99%

Web Document Segmentation for Better Extraction of Information: A Review

Eldirdiery¹,

Ahmed²

2015

IJCA

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This paper reviews the problem of web page segmentation. According to the recent studies, there exist different approaches used to segment the web page into multiple blocks. Segmentation of web document is an essential step for many applications, such as text classifications, clustering, extraction of information and searching. The study provided full description for each approach and showed its contribution to the work area of research. Also the paper discusses the variance between these approaches, explaining the benefits and limitations of each one. In addition to that it explores most of the effective algorithms those based on these approaches and explains the application area of each algorithm.

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“…et al [21] uses VIPs algorithm to identify if the change in the page is important for archiving or not. Their work aims to enhance the efficiency of web page archiving.…”

Section: Vision-based Approachmentioning

confidence: 99%

Web Document Segmentation for Better Extraction of Information: A Review

Eldirdiery¹,

Ahmed²

2015

IJCA

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“…• Change importance estimation In this phase, the successive delta files generated during a day are evaluated by the function [5] to estimate the importance of changes. This function depends of three major parameters; (i) the importance of each block composing the page, (ii) the importance of changes operations (insertion, deletion, etc.)…”

Section: Pattern Discovery Phasesmentioning

confidence: 99%

“…As detailed in [5], the importance of changes detected in the delta ∆ is computed by the following function based on three major parameters:…”

Section: Principlementioning

confidence: 99%

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Archiving the web using page changes patterns

Saâd

Gançarski

2011

Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries

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A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerable attention in recent years and were widely studied in the data mining field. Various pattern mining approaches have been proposed and used for different applications such as network monitoring, moving object tracking, financial or medical data analysis, scientific data processing, etc. In these different contexts, discovered patterns were useful to detect anomalies, to predict data behavior (or trend), or more generally, to simplify data processing or to improve system performance. However, to the best of our knowledge, patterns have never been used in the context of web archiving. Web archiving is the process of continuously collecting and preserving portions of the World Wide Web for future generations. In this paper, we show how patterns of page changes can be useful tools to efficiently archive web sites. We first define our pattern model that describes the changes of pages. Then, we present the strategy used to (i) extract the temporal evolution of page changes, to (ii) discover patterns and to (iii) exploit them to improve web archives. We choose the archive of French public TV channels France Télévisions as a case study 1 in order to validate our approach. Our experimental evaluation based on real web pages shows the utility of patterns to improve archive quality and to optimize indexing or storing.

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“…Web page segmentation refers to the process of dividing a Web page into visually and semantically coherent segments called blocks. Detecting these different blocks is a crucial step for many applications, such as mobile applications [20], information retrieval [5], web archiving [14], among others. In the context of Web archiving, segmentation can be used to extract interesting parts to be stored.…”

Section: Introductionmentioning

confidence: 99%

Web page segmentation evaluation

Sanoja

Gançarski

2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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In this paper, we present a framework for evaluating segmentation algorithms for Web pages. Web page segmentation consists in dividing a Web page into coherent fragments, called blocks. Each block represents one distinct information element in the page. We define an evaluation model that includes different metrics to evaluate the quality of a segmentation obtained with a given algorithm. Those metrics compute the distance between the obtained segmentation and a manually built segmentation that serves as a ground truth. We apply our framework to four state-of-the-art segmentation algorithms (BOM, Block Fusion, VIPS and JVIPS) on several categories (types) of Web pages. Results show that the tested algorithms usually perform rather well for text extraction, but may have serious problems for the extraction of geometry. They also show that the relative quality of a segmentation algorithm depends on the category of the segmented page.

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Using visual pages analysis for optimizing web archiving

Cited by 16 publications

References 16 publications

Web Document Segmentation for Better Extraction of Information: A Review

Web Document Segmentation for Better Extraction of Information: A Review

Archiving the web using page changes patterns

Web page segmentation evaluation

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