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Linked Data Sniffer is a tool for assessing the accessibility of Linked Data resources according to the metrics defined in the Linked Data Quality Model.

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Linked Data Sniffer

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Linked Data Sniffer is a tool for assessing the accessibility of Linked Data resources according to the metrics defined in the Linked Data Quality Model.

Linked Data Sniffer can be used either as a Web App or a command line tool.

LD Sniffer Web App

Web App Screenshot

Thanks Idafen for the logo!

LD Sniffer Docker Image

The LD Sniffer Web App is also available as a Docker image (nandana/ld-sniffer) in Docker hub.

Usage

$ docker run --name ld-sniffer -p 8080:8080 -it nandana/ld-sniffer:0.0.1

You should see the web app getting started like the following and it will be available in the URL : http://localhost:8080/

Docker Commandline

LD Sniffer Command Line App

Usage

Download the ld-sniffer-0.0.1.jar and use it as an standalone executable jar. You will need Java 8 as a prerequesite.

usage: java -jar ld-sniffer-0.0.1.jar [-h] [-md] [-ml <METRICS-FILE-PATH>] [-rdf] [-t <T-MINS>] [-tdb <TDB-DIR-PATH>] [-ul <URI-FILE-PATH>] -url <URL>
Assess a list of Linked Data resources using Linked Data Quality Model.
 -h,--help                               Print this help message
 -md,--metrics-definition                Include the metric definitions in the results
 -ml,--metricsList <METRICS-FILE-PATH>   The path of the file containing the list of metrics to be calculated
 -rdf,--rdf-output                       Output the RDF serialization of the results
 -t,--timeout <T-MINS>                   Timeout (in minutes) for a single evaluation
 -tdb,--tdb <TDB-DIR-PATH>               The path of directory for Jena TDB files
 -ul,--uriList <URI-FILE-PATH>           The path of the file containing the urls of resources to be assessed
 -url,--url <URL>                        URL of the resource to be assessed
Please report issues at https://github.com/nandana/ld-sniffer

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Linked Data Sniffer is a tool for assessing the accessibility of Linked Data resources according to the metrics defined in the Linked Data Quality Model.

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