Semantic History Map: Graphs Aiding Web Revisitation Support

imko, Jakub; Tvarožek, Michal; Bieliková, Mária

doi:10.1109/dexa.2010.55

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Visualization of the history of previously visited web pages is the most common approach taken to assist a user in re-visiting. Well structured thumbnails can improve the visibility of the history and contribute to the recognition of the intended web pages [6], [15], [16], [18]. However, re-visiting in a given situation where some web pages have been modified/changed is not supported.…”

Section: Related Workmentioning

confidence: 99%

A Mechanism of Trailing the Footprint for the Previously Visited Web Pages to Ease a Meta-Knowledge-Based Search

Sato

Adachi

Nakashima

et al. 2012

2012 15th International Conference on Network-Based Information Systems

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It is very common for users to re-visit web pages, and in fact this can be said to be common practice. This re-visiting can in many cases be based on their own or another person's recorded history, e.g., a search history or bookmarks. However they someday come to the point where the history becomes useless and they have to click through several web pages again by utilizing their know-how to find intended web pages because the web is continuously changing. We here propose a mechanism (called the FootprintTrailer) of assisting a user to ease a metaknowledge-based search in re-visiting by dividing the web search into a knowledge-based search and a meta-knowledge-based search, each of which, respectively, employs the search history (called the Footprint) or the know-how regarding the search. Though the latter search should be done by a user, the former search is designed to work with the latter one for reducing the number of link anchors clicked and that of the web pages revisited manually. The effect of the FootprintTrailer was experimentally clarified by two types of case studies, where a user revisited the web pages that had been visited by the user and that had been visited by others.

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Section: Related Workmentioning

confidence: 99%

A Mechanism of Trailing the Footprint for the Previously Visited Web Pages to Ease a Meta-Knowledge-Based Search

Sato

Adachi

Nakashima

et al. 2012

2012 15th International Conference on Network-Based Information Systems

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“…The game has also the unique ability to discover term relationships as perceived by humans, some of which are hard to detect using statistical corpora analysis. Therefore the resulting lightweight term network is suitable for applications like learning support frameworks (Barla et al, 2010), exploratory search tools (Šimko, Tvarožek, & Bieliková, 2010) or as a subject for further semantic enrichment.…”

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confidence: 99%

AL-QuIn

Lisi

2011

International Journal on Semantic Web and Information Systems

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Onto-Relational Learning is an extension of Relational Learning aimed at accounting for ontologies in a clear, well-founded and elegant manner. The system -QuIn supports a variant of the frequent pattern discovery task by following the Onto-Relational Learning approach. It takes taxonomic ontologies into account during the discovery process and produces descriptions of a given relational database at multiple granularity levels. The functionalities of the system are illustrated by means of examples taken from a Semantic Web Mining case study concerning the analysis of relational data extracted from the on-line CIA World Fact Book.

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“…The game has also the unique ability to discover term relationships as perceived by humans, some of which are hard to detect using statistical corpora analysis. Therefore the resulting lightweight term network is suitable for applications like learning support frameworks , exploratory search tools (Šimko, Tvarožek, & Bieliková, 2010) or as a subject for further semantic enrichment.…”

mentioning

confidence: 99%

Data Linking for the Semantic Web

2013

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By specifying that published datasets must link to other existing datasets, the 4th linked data principle ensures a Web of data and not just a set of unconnected data islands. The authors propose in this paper the term data linking to name the problem of finding equivalent resources on the Web of linked data. In order to perform data linking, many techniques were developed, finding their roots in statistics, database, natural language processing and graph theory. The authors begin this paper by providing background information and terminological clarifications related to data linking. Then a comprehensive survey over the various techniques available for data linking is provided. These techniques are classified along the three criteria of granularity, type of evidence, and source of the evidence. Finally, the authors survey eleven recent tools performing data linking and we classify them according to the surveyed techniques.

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Semantic History Map: Graphs Aiding Web Revisitation Support

Cited by 8 publications

References 15 publications

A Mechanism of Trailing the Footprint for the Previously Visited Web Pages to Ease a Meta-Knowledge-Based Search

A Mechanism of Trailing the Footprint for the Previously Visited Web Pages to Ease a Meta-Knowledge-Based Search

AL-QuIn

Data Linking for the Semantic Web

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