Efficient Exploration of Linked Data Cloud
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10316283" target="_blank" >RIV/00216208:11320/15:10316283 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00237438
Result on the web
<a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005558002550261</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0005558002550261" target="_blank" >10.5220/0005558002550261</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Exploration of Linked Data Cloud
Original language description
As the size of semantic data available as Linked Open Data (LOD) increases, the demand for methods for automated exploration of data sets grows as well. A data consumer needs to search for data sets meeting his interest and look into them using suitablevisualization techniques to check whether the data sets are useful or not. In the recent years, particular advances have been made in the field, e.g., automated ontology matching techniques or LOD visualization platforms. However, an integrated approachto LOD exploration is still missing. On the scale of the whole web, the current approaches allow a user to discover data sets using keywords or manually through large data catalogs. Existing visualization techniques presume that a data set is of an expected type and structure. The aim of this position paper is to show the need for time and space efficient techniques for discovery of previously unknown LOD data sets on the base of a consumer's interest and their automated visualization w
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 4th International Conference on Data Management Technologies and Applications
ISBN
978-989-758-103-8
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
255-261
Publisher name
SciTePress
Place of publication
Neuveden
Event location
Colmar, Alsace, France
Event date
Jul 20, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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