2003
DOI: 10.1145/1029014.1028663
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Semantic bookmarking for non-visual web access

Abstract: Bookmarks are shortcuts that enable quick access of the desired Web content. They have become a standard feature in any browser and recent studies have shown that they can be very useful for non-visual Web access as well. Current bookmarking techniques in assistive Web browsers are rigidly tied to the structure of Web pages. Consequently they are susceptible to even slight changes in the structure of Web pages. In this paper we propose semantic bookmarking for non-visual Web access. With the help of an ontolog… Show more

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Cited by 3 publications
(3 citation statements)
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“…It is easily understood that the large amount of information in the web and its daily update makes human annotation quite difficult even for a large network of annotators. Approaches to semiautomatic annotation are based either on web content analysis such as in [21], or on web page structure mining such as in [7]. A number of solutions present quite important percentages of successful annotation in specific domain web pages, such as in [22].…”
Section: Conclusion and Further Researchmentioning
confidence: 99%
“…It is easily understood that the large amount of information in the web and its daily update makes human annotation quite difficult even for a large network of annotators. Approaches to semiautomatic annotation are based either on web content analysis such as in [21], or on web page structure mining such as in [7]. A number of solutions present quite important percentages of successful annotation in specific domain web pages, such as in [22].…”
Section: Conclusion and Further Researchmentioning
confidence: 99%
“…Mukherjee, Ramakrishnan & Kifer suggest the semantic storage of bookmarks by partitioning elements in a web page according to their structural type, spatial locality and semantic similarity [1]. Takano and Winograd researched WWW Dynamic Bookmark that calculates bookmark importance rank from user's navigation behavior aiding easy pick-up of useful URLs [8].…”
Section: Related Workmentioning
confidence: 99%
“…al. [17]. In the part of web structure mining there are interesting approaches by Pontelli & Son [19] and Kottapally et.…”
Section: Automatic Annotationsmentioning
confidence: 99%