KartoGraphI: Knowledge graph cartography and index
Visualisation of the results obtained by IndeGx
Geolocation of known endpoints
This map shows the geolocation obtained using a reverse DNS on their URLs.
Links between SPARQL endpoints and their vocabularies
This graph shows links between vocabularies and the SPARQL endpoints that contains at least one element (class or property) in their namespace.
Only the vocabularies listed in Linked Open Vocabularies and prefix.cc are shown.
Links between SPARQL endpoints and their vocabularies keywords
This graph shows links between SPARQL endpoints and the keywords associated with the vocabularies that they contain. The keywords of each vocabulary are extracted from Linked Open Vocabularies.
Links between endpoints and meta-vocabularies
The graphs below show the endpoints connected to the different vocabularies most often used to define other vocabularies, hence \"meta-vocabularies\".
RDF
RDFS
OWL
SKOS
SHACL
SWRL
SPIN
Estimation of the SPARQL features covered by the endpoints
This charts shows the number of SPARQL features supported by endpoints amog 41 tested features. The tests are inspired by SPARQLES.
The following charts show differnet statistics on the content of SPARQL endpoints. As the counting of elements is resource-intensive, not all endpoints have returned results for each statistic.
Datasets populations
Number of triples in endpoints.
Number of classes
Number of classes in endpoints.
Number of properties
Number of properties in endpoints.
Number of languages
Number of languages used on the literals in endpoints.
Server name in HTTP headers
Quality metrics
Readable labels
Proportion of resources with an human-readable label (i.e. using rdfs:label or equivalent)
Short URIs
Proportion of resources with a with a short URI
RDF data structures
Proportion of resources that are not a part of an RDF data structure such as a List
Usage of blank nodes
Proportion of resources that are blank nodes
FAIRness evaluation
This bar charts display the evaluation of datasets described in SPARQL endpoints and evaluated using the FAIR-Checker method, reimplemented in IndeGx.
The code of this site and of the application that generated the RDF data it exploits, are hosted on Github.
The results displayed on this website inpired the creation of Metadatamatic, a tool for the generation of dataset description.
To cite this work:
@inproceedings{maillot:hal-03652865,
TITLE = {{KartoGraphI: Drawing a Map of Linked Data}},
AUTHOR = {Maillot, Pierre and Corby, Olivier and Faron, Catherine and Gandon, Fabien and Michel, Franck},
URL = {https://hal.archives-ouvertes.fr/hal-03652865},
BOOKTITLE = {{ESWC 2022 - 19th European Semantic Web Conferences}},
ADDRESS = {Hersonissos, Greece},
PUBLISHER = {{Springer}},
YEAR = {2022},
MONTH = May,
KEYWORDS = {linked data ; semantic web}
}
To cite the article about the IndeGx framework that generated the data displayed on this
website:
@article{maillot:hal-03946680,
TITLE = {{IndeGx: A Model and a Framework for Indexing RDF Knowledge Graphs with SPARQL-based Test Suits}},
AUTHOR = {Maillot, Pierre and Corby, Olivier and Faron, Catherine and Gandon, Fabien and Michel, Franck},
URL = {https://hal.science/hal-03946680},
JOURNAL = {{Journal of Web Semantics}},
PUBLISHER = {{Elsevier}},
PAGES = {100775},
YEAR = {2023},
MONTH = Jan,
DOI = {10.1016/j.websem.2023.100775},
KEYWORDS = {semantic index metadata extraction dataset description endpoint description knowledge graph ; semantic index ; metadata extraction ; dataset description ; endpoint description ; knowledge graph},
PDF = {https://hal.science/hal-03946680/file/_DeKaloG__IndeGx___Web_Semantics_2022-1.pdf},
HAL_ID = {hal-03946680},
HAL_VERSION = {v1},
}