ckanext-dcat | Open Data initiatives around the world , the need to share

by ckan Python Version: v1.5.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ckanext-dcat Summary

ckanext-dcat is a Python library typically used in Utilities applications. ckanext-dcat has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

CKAN ♥ DCAT

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ckanext-dcat has a low active ecosystem.

It has 150 star(s) with 136 fork(s). There are 30 watchers for this library.

It had no major release in the last 12 months.

There are 45 open issues and 79 have been closed. On average issues are closed in 217 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ckanext-dcat is v1.5.0

Quality

ckanext-dcat has 0 bugs and 0 code smells.

Security

ckanext-dcat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ckanext-dcat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ckanext-dcat does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ckanext-dcat releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 7133 lines of code, 469 functions and 37 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ckanext-dcat and discovered the below as its top functions. This is intended to give you an instant insight into ckanext-dcat implemented functionality, and help decide if they suit your requirements.

Create an DCAT graph from a dataset
Adds a date triple triple
Safely quote characters
Create a new URIRef instance
Parse DCAT dataset
Return access rights statement
Return the object value for the given subject and predicate
Return first object matching subject and predicate
Import a stage
Return the dataset with the given guid
Dcatalog search for datasets
Read the catalog page
Read dataset page
Create a graph from a catalog
Serialize a dataset
Add mailto
Show the CDAN catalog
Run the command
Display a dataset
Return a list of CDAN datasets
Parse a dataset
Gather a list of objects from the DCATR API
Gathers the content of the given harvest job
Adds DCATAP2
Generates a graph from a dataset
Helper method to get a value from a resource

Get all kandi verified functions for this library.

ckanext-dcat Key Features

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ckanext-dcat Examples and Code Snippets

No Code Snippets are available at this moment for ckanext-dcat.

Community Discussions

Trending Discussions on ckanext-dcat

Mount a SPARQL endpoint for use with custom ontologies and triple RDFs

QUESTION

Mount a SPARQL endpoint for use with custom ontologies and triple RDFs

Asked 2017-Jun-19 at 14:38

I've been trying to figure out how to mount a SPARQL endpoint for a couple of days, but as much as I read I can not understand it.

Comment my intention: I have an open data server mounted on CKAN and my goal is to be able to use SPARQL queries on the data. I know I could not do it directly on the datasets themselves, and I would have to define my own OWL and convert the data I want to use from CSV format (which is the format they are currently in) to RDF triple format (to be used as linked data).

The idea was to first test with the metadata of the repositories that can be generated automatically with the extension ckanext-dcat, but is that I really do not find where to start. I've searched for information on how to install a Virtuoso server for the SPARQL, but the information I've found leaves a lot to be desired, not to say that I can find nowhere to explain how I could actually introduce my own OWLs and RDFs into Virtuoso itself.

Someone who can lend me a hand to know how to start? Thank you

...

ANSWER

Answered 2017-Jun-19 at 14:38

I'm a little confused. Maybe this is two or more questions?

1. How to convert tabular data, like CSV, into the RDF semantic format?

This can be done with an R2RML approach. Karma is a great GUI for that purpose. Like you say, a conversion like that can really be improved with an underlying OWL ontology. But it can be done without creating a custom ontology, too.

I have elaborated on this in the answer to another question.

2. Now that I have some RDF formatted data, how can I expose it with a SPARQL endpoint?

Virtuoso is a reasonable choice. There are multiple ways to deploy it and multiple ways to load the data, and therefore LOTs of tutorial on the subject. Here's one good one, from DBpedia.

If you'd like a simpler path to starting an RDF triplestore with a SPARQL endpoint, Stardog and Blazegraph are available as JARs, and RDF4J can easily be deployed within a container like Tomcat.

All provide web-based graphical interfaces for loading data and running queries, in addition to SPARQL REST endpoints. At least Stardog also provides command-line tools for bulk loading.

Source https://stackoverflow.com/questions/44095829

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ckanext-dcat

Install ckanext-harvest (https://github.com/ckan/ckanext-harvest#installation) (Only if you want to use the RDF harvester).
Install ckanext-harvest (https://github.com/ckan/ckanext-harvest#installation) (Only if you want to use the RDF harvester)
Install the extension on your virtualenv: (pyenv) $ pip install -e git+https://github.com/ckan/ckanext-dcat.git#egg=ckanext-dcat
Install the extension requirements: (pyenv) $ pip install -r ckanext-dcat/requirements.txt
Enable the required plugins in your ini file: ckan.plugins = dcat dcat_rdf_harvester dcat_json_harvester dcat_json_interface structured_data

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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