Use Cases for Linked Data Visualization Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10314608" target="_blank" >RIV/00216208:11320/15:10314608 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/15:00235637
Result on the web
<a href="http://ceur-ws.org/Vol-1409/paper-08.pdf" target="_blank" >http://ceur-ws.org/Vol-1409/paper-08.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Use Cases for Linked Data Visualization Model
Original language description
There is a vast amount of Linked Data on the web spread across a large number of datasets. One of the visions behind Linked Data is that the published data is conveniently reusable by others. This, however, depends on many details such as conformance ofthe data with commonly used vocabularies and adherence to best practices for data modeling. Therefore, when an expert wants to reuse existing datasets, he still needs to analyze them to discover how the data is modeled and what it actually contains. Thismay include analysis of what entities are there, how are they linked to other entities, which properties from which vocabularies are used, etc. What is missing is a convenient and fast way of seeing what could be usable in the chosen unknown dataset without reading through its RDF serialization. In this paper we describe use cases based on this problem and their realization using our Linked Data Visualization Model (LDVM) and its new implementation. LDVM is a formal base that exploits t
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
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 the Workshop on Linked Data on the Web co-located with the 24th International World Wide Web Conference (WWW 2015)
ISBN
—
ISSN
1613-0073
e-ISSN
—
Number of pages
10
Pages from-to
—
Publisher name
CEUR Workshop Proceedings
Place of publication
Neuveden
Event location
Florence, Italy
Event date
May 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—