Enhanced web document summarization using hyperlinks

Delort, Jean-Yves; Bouchon‐Meunier, Bernadette; Rifqi, Maria

doi:10.1145/900051.900097

Cited by 59 publications

(38 citation statements)

References 11 publications

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“…It has already been shown that summaries of hypertext link targets are useful for user cognition [23], therefore, extending the technique may also be useful for summarisation. By using the context and content surrounding a link more efficientlygenerated and complete summaries can be created [15]. These techniques have met with some success in their application however problems do exist because document summaries generated in this way rely on a profusion of associative and referential links.…”

Section: Link Based Summationmentioning

confidence: 99%

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Gist summaries for visually impaired surfers

Harper

Patel

2005

Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility

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Anecdotal evidence suggests that Web document summaries provide the sighted reader with a basis for making decisions regarding the route to take within non-linear text; and additional research shows that sighted people use 'Gist' summaries as decision points to bolster their browsing behaviour. Other studies have found that visually impaired users are hindered in their cognition of the content of Web-pages because users must wait for an entire Web-page to be read before deciding on it's usefulness to their current task. In these cases, we draw similarities between sighted and visually impaired users, in that sighted users cannot see the target of a Web Anchor and are therefore 'handicapped' 1 by the technology. Previously, we have investigate four simple summarisation algorithms against each other and a manually created summary; producing empirical evidence as a formative evaluation. This evaluation concludes that users prefer simple automatically generated 'gist' summaries thereby reducing cognitive overload and increasing awareness of the focus of the Web-page under investigation. In this paper we focus on the development of 'FireFox' based tool which creates a summary of a Web page 'on-the-fly'. The algorithm used to create this summary is based on the results of our formative evaluation which automatically and dynamically annotates Web pages with the generated 'gist' summary. In this way visually impaired users are supported in their decisions as the relevancy of the page at hand.

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Section: Link Based Summationmentioning

confidence: 99%

“…However, it is also possible for extensions to include compiled code in the form of XPCOM components. 15 Extensible Hypertext Mark-up Language. 16 Document Object Model.…”

Section: How Do We Create a Summary?mentioning

confidence: 99%

Gist summaries for visually impaired surfers

Harper

Patel

2005

Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility

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“…Delort et al [3] proposed enhanced web document summarization using hyperlinks. They considered the context of a Web document by the textual content of all the documents linking to it.…”

Section: Introductionmentioning

confidence: 99%

Web News Summarization via Soft Clustering Algorithm

2009

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery

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“…Summaries are helpful to tackle the complexity of information retrieval and processing. Methods for summarizing webpages [1,3], websites [29] and generating snippets of search results have been proposed. These methods try to capture the gist of their targets and therefore usually focus on the author's intention.…”

Section: Introductionmentioning

confidence: 99%

“…Typically, such methods could be useful to blog search engines such as technorati. 1 Another potentially interesting application of identifying commented passages is to assist moderators to detect subversive contents on weblogs.…”

Section: Introductionmentioning

confidence: 99%

Identifying commented passages of documents using implicit hyperlinks

Delort

2006

Proceedings of the Seventeenth Conference on Hypertext and Hypermedia

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This paper addresses the issue of automatically selecting passages of blog posts using readers' comments. The problem is difficult because: (i) the textual content of blogs is often noisy, (ii) comments do not always target passages of the posts and, (iii) comments are not equally useful for identifying important passages. We have developed a system for selecting commented passages which takes as input blog posts and their comments and delivers, for each post, the sentences of the post which are the most commented and/or the most discussed. Our approach combines three steps to identify commented passages of a post. The first step is to remove the complexity of processing the contents of posts and comments using heuristics adapted to the language of the blog. The second step is to find useful comments and assigns them a degree of relevance using a model automatically built and validated by an expert. The third step is to identify important passages using relevant comments. We conducted two experiments to evaluate the usefulness and the effectiveness of our approach. The first study show that in only 50% of the posts, the most commented sentence elicited by our approach corresponds to the post extract generated using generic summarization. In the second study, human participants confirmed that, in practice, selected passages are frequently commented passages.

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Enhanced web document summarization using hyperlinks

Cited by 59 publications

References 11 publications

Gist summaries for visually impaired surfers

Gist summaries for visually impaired surfers

Web News Summarization via Soft Clustering Algorithm

Identifying commented passages of documents using implicit hyperlinks

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