Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics 2013
DOI: 10.1145/2479787.2479828
|View full text |Cite
|
Sign up to set email alerts
|

Creation of visualizations based on linked data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 24 publications
(22 citation statements)
references
References 19 publications
0
22
0
Order By: Relevance
“…The graphical representation of the ontology created for modelling the Lattes system can be viewed at the web addresses in 11 . It shows the relationship between classes and properties according to the semantic web standards.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The graphical representation of the ontology created for modelling the Lattes system can be viewed at the web addresses in 11 . It shows the relationship between classes and properties according to the semantic web standards.…”
Section: Resultsmentioning
confidence: 99%
“…The dashed line around the predicates and objects vcard:country, rdfs:label and xsd:string highlight the criteria used to establish the linkage between the Lattes and DBPedia Endpoints. Figure 2 shows an interactive visualization interface using the Visualbox tool [11] and the SPARQL query shown in Table 3. It highlights the geographical distribution of countries that received Brazilian individuals to carry out Doctorate graduate degree activities.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Visualbox [18] and Callimachus [2] have been proposed for linked data visualisation. In their two-step model/view approach, SPARQL queries select data and then a template language generates the (XML-based) visualisation.…”
Section: Related Workmentioning
confidence: 99%
“…The second update request depends on the association between areas and filters (line 39) to build the variable part of the generated SELECT query as a UNION of elements. Each of these elements consists of a common part (lines [17][18][19][20][21][22] and the query corresponding to the filter (lines [23][24]. This filter query is also enriched in some ways: (1) the filter-common.rq query is added as a subquery (lines 25-27); (2) a LIMIT clause (sp: limit) is added to retrieve exactly the number of items that will be shown in each area (lines 35-38, 40, and 32); (3) the corresponding area is added to the variables projected by each filter query (lines 29-31); and (4) the filter queries are joined together with a constant part that reads the selected artwork from the input of the generated query (lines [8][9][10][11][12]20).…”
Section: An Example: Exploring Artworkmentioning
confidence: 99%