Semantic Web Infrastructure Using DataPile

Yaghob, Jakub; Zavoral, Filip

doi:10.1109/wi-iatw.2006.119

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2008

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Cited by 10 publications

(2 citation statements)

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“…We have recognized and described the problem of a missing, standard infrastructure for the Semantic Web in our article [13], where we have proposed a general Semantic Web infrastructure. During the last year we have made a significant progress: we have implemented full-blown, working, fast, scalable infrastructure for the Semantic Web.…”

Section: Infrastructure Overviewmentioning

confidence: 99%

Semantic Web Infrastructure

Dokulil¹,

Tykal²,

Yaghob³

et al. 2007

International Conference on Semantic Computing (ICSC 2007)

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Section: Infrastructure Overviewmentioning

confidence: 99%

Semantic Web Infrastructure

Dokulil¹,

Tykal²,

Yaghob³

et al. 2007

International Conference on Semantic Computing (ICSC 2007)

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“…The visualization tool uses the Semantic web infrastructure that is currently being developed at the Faculty of Mathematics and Physics of the Charles University in Prague [11].…”

Section: Introductionmentioning

confidence: 99%

Visualization of Large Schemaless RDF Data

Andrès

Fukami

2007

International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM'07)

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Since many XML documents do not contain any schema definition, we expected that there will be also RDF documents without RDF schema or ontology.Then the data can only be viewed as a general labeled directed graph and the idea to present the data to the user by drawing the graph seems natural. Because the data can be extremely large, it is impossible to display the whole graph at one time. Only a suitable start node is displayed and the rest of the graph can be explored by incremental navigation.To conserve space and show possible directions of further navigation to the user we have come up with a technique called node merging. By combining suitable graph drawing and navigation techniques we get a tool that can give the user good idea about structure and content of the data.

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