DL-Learner | supervised Machine Learning in OWL and Description Logics | Machine Learning library

 by   SmartDataAnalytics Java Version: 1.5.0 License: GPL-3.0

kandi X-RAY | DL-Learner Summary

kandi X-RAY | DL-Learner Summary

DL-Learner is a Java library typically used in Artificial Intelligence, Machine Learning, Docker applications. DL-Learner has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

DL-Learner is a framework to perform machine learning rich semantic background knowledge (usually in description logics, hence the "DL" in its name). Please check the website for details and examples. Post to the mailing list if help is needed. DL-Learner is Open Source and licensed under the GNU General Public License 3. (Copyright (c) 2007-2019, Jens Lehmann).

            kandi-support Support

              DL-Learner has a low active ecosystem.
              It has 149 star(s) with 38 fork(s). There are 34 watchers for this library.
              It had no major release in the last 12 months.
              There are 25 open issues and 37 have been closed. On average issues are closed in 175 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of DL-Learner is 1.5.0

            kandi-Quality Quality

              DL-Learner has 0 bugs and 0 code smells.

            kandi-Security Security

              DL-Learner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DL-Learner code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DL-Learner is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              DL-Learner releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DL-Learner and discovered the below as its top functions. This is intended to give you an instant insight into DL-Learner implemented functionality, and help decide if they suit your requirements.
            • Moves forward from the current state to the next valid state .
            • Validate the decision
            • Generates an axiom for disjoint classes .
            • Parse a configuration option .
            • Erzeugt den Objekt einen Vorzeichen der Vorzeichen
            • Erzeugt ein Objekt
            • Attempts to find the best likelihood of a given list of examples .
            • Computes the next question for a given query tree
            • Recursively pruning the RDF resource tree .
            • Returns the similarity of two strings .
            Get all kandi verified functions for this library.

            DL-Learner Key Features

            No Key Features are available at this moment for DL-Learner.

            DL-Learner Examples and Code Snippets

            No Code Snippets are available at this moment for DL-Learner.

            Community Discussions


            SPARQL: querying all triples linked to one URL, but not to another
            Asked 2019-Jun-18 at 16:22

            From one RDF file containing statements about multiple chemical compounds, I would like to create one RDF file per chemical compound.

            In order to do that, I started off looking for a SPARQL query that can isolate all triples linked to a certain URL, no matter how much nodes are in between.

            I started off with a very interesting SPARQL query (https://stackoverflow.com/a/33290642/5433896) such that it would return (hopefully) all triples linked to a chemical compound :d1 in my dataset, but NOT about another compound :d10:



            Answered 2019-Jun-18 at 16:22

            I found out the answer to this question when adding extra things I had already noticed.

            Since :d1 rdf:type :Compound and :d10 rdf:type :Compound, there is actually a path from :d1 to :d10 and therefore triples about :d10 also end up in my query results - which is of course not what I wanted.

            Looking at the query, I thought it would make sense to add an additional constraint that ?child mustn't be :d10. And, thinking about the way the poster of https://stackoverflow.com/a/33290642/5433896 explained his query, I should also exclude that ?someSubj or ?childPropVal can be :d10:

            Source https://stackoverflow.com/questions/56639490

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


            No vulnerabilities reported

            Install DL-Learner

            You can download it from GitHub.
            You can use DL-Learner like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DL-Learner component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .


            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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