rrdf | Resource Description Framework library written in rust | Data Manipulation library

 by   jesse99 Rust Version: Current License: No License

kandi X-RAY | rrdf Summary

kandi X-RAY | rrdf Summary

rrdf is a Rust library typically used in Utilities, Data Manipulation applications. rrdf has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Resource Description Language (RDF) library implemented with the Rust programming language. The library contains an implementation of a triple store and a large subset of the SPARQL 1.1 query language. There is not currently any support for serialization via XML or Turtle.
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            kandi-support Support

              rrdf has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              rrdf has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rrdf is current.

            kandi-Quality Quality

              rrdf has no bugs reported.

            kandi-Security Security

              rrdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              rrdf does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              rrdf releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            rrdf Key Features

            No Key Features are available at this moment for rrdf.

            rrdf Examples and Code Snippets

            No Code Snippets are available at this moment for rrdf.

            Community Discussions

            QUESTION

            embed credentials for protected GraphDB in cURL?
            Asked 2019-Jun-12 at 14:26

            I like to explore the contents of my triplestores with either the rrdf or SPARQL packages in R. I believe they use cURL under the hood. They can take additional parameters, beyond the endpoint address and the query itself.

            Here's GraphDB's notes on cURL-based queries: http://graphdb.ontotext.com/documentation/standard/quick-start-guide.html#query-data-programmatically

            I could swear I connected to some password-protected triplestore from R in the past, but I can't remember how I did it. It might have been Stardog or Blazegraph.

            I'll be connecting over a VPN. I hope that I can relax the usual rule about not embedding sensitive data (like a password) in a plain text URL.

            • Can I connect to a password-protected GraphDB (or any other RDF4J compliant triplestore) by including the username and password as part of the URL?
            • Or, can I establish an authenticated connection/session with GraphDB over cURL, as opposed to establishing a secure connection within some Java or Scala code?
            ...

            ANSWER

            Answered 2019-Jun-12 at 14:26

            From RCurl: HTTP Authentication When Site Responds With HTTP 401 Code Without WWW-Authenticate:

            the key is specifying the type of authentication (httpauth) as a bitmap option (1L), to be passed to rCURL.

            Source https://stackoverflow.com/questions/47641557

            QUESTION

            How does a triplestore decide whether to add "background" triples?
            Asked 2017-Jun-15 at 23:49

            I use a few different triplestores, and code in R and Scala. I think I'm seeing some differences in:

            • whether the triplestores include triples other than the ones I explicitly loaded.
            • the point at which these "background" triples might be added.

            Are there any general rules for whether supporting vocabularies need to be added, independent of the implementation technology?

            Using Jena in R, via rrdf, I usually only see what I loaded:

            ...

            ANSWER

            Answered 2017-Jun-15 at 23:49

            Are there any general rules for whether supporting vocabularies need to be added, independent of the implementation technology?

            That depends on what inferencing scheme your triplestore claims to support. For a pure RDF store (no inferencing), no additional triples should be added at all.

            Judging from that fragment you showed, the Blazegraph store you used has at least RDFS inferencing (and possibly partial OWL reasoning as well?) enabled. Note that this is store-specific, not framework, so it's not a Jena vs. Sesame thing: both frameworks support stores that either do or do not do reasoning. Of course, if you use either framework and use the "excluded inferred triples" option that they offer, the backing store should respect that config option and not include such inferred triples in the result.

            Source https://stackoverflow.com/questions/44571234

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

            Vulnerabilities

            No vulnerabilities reported

            Install rrdf

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            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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            https://github.com/jesse99/rrdf.git

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            gh repo clone jesse99/rrdf

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            git@github.com:jesse99/rrdf.git

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