knowledge-extraction | From Natural Language Text to Graph Database | Natural Language Processing library

 by   5agado Java Version: Current License: Apache-2.0

kandi X-RAY | knowledge-extraction Summary

kandi X-RAY | knowledge-extraction Summary

knowledge-extraction is a Java library typically used in Artificial Intelligence, Natural Language Processing applications. knowledge-extraction has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

From Natural Language Text to Graph Database. Extract information from big volumes of English language text, process it and store the results in a graph database for easy-to-do computation. Knowledge is represented as triplets of the form subject-action-object.

            kandi-support Support

              knowledge-extraction has a low active ecosystem.
              It has 29 star(s) with 9 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              knowledge-extraction has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of knowledge-extraction is current.

            kandi-Quality Quality

              knowledge-extraction has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              knowledge-extraction is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              knowledge-extraction releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              knowledge-extraction saves you 403 person hours of effort in developing the same functionality from scratch.
              It has 957 lines of code, 64 functions and 13 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed knowledge-extraction and discovered the below as its top functions. This is intended to give you an instant insight into knowledge-extraction implemented functionality, and help decide if they suit your requirements.
            • Insert a triple in the graph
            • Retrieves a node
            • Gets the second argument
            • Returns the first argument
            • Extract triples from text
            • Extract a relation from a sentence
            • Gets the object from a Parse object
            • Gets the first occurence of a parse
            • Get a triplet relation
            • Sets the confidence interval
            • Set the second argument
            • Set the first argument
            • Count the number of valid triples in the given list
            • Checks if is complete
            • Gets all filenames of a folder
            • Write out content to a file
            • Creates the indexes for all indexes
            • Register a shutdown hook
            • Shutdown the graph database
            Get all kandi verified functions for this library.

            knowledge-extraction Key Features

            No Key Features are available at this moment for knowledge-extraction.

            knowledge-extraction Examples and Code Snippets

            No Code Snippets are available at this moment for knowledge-extraction.

            Community Discussions

            Trending Discussions on knowledge-extraction


            Spring Boot 2 Maven project running on Intellij but not on Tomcat
            Asked 2020-May-28 at 08:36

            I've been trying to this without much success so any clues hinting to a solution would be appreciated. I'm not a Maven expert at all so this may be the principal issue.

            I currently have a SpringBoot backend that is perfectly running if I run it from Intellij SpringBoot. But if I mvn clean install to create a war package to deploy in Tomcat8.5 then I get a 404 error for all routes I've tried.

            This is the pom.xml for the parent directory



            Answered 2018-Oct-25 at 12:38

            There is no error during deployment of sacs-webservice-1.0-SNAPSHOT.war in your log. By default the WAR name is the context path after deployment so in your case an example URL will look like http://localhost:8080/sacs-webservice-1.0-SNAPSHOT/index.html.

            When running from within IntelliJ the WAR file name is not part of the context path so an example URL will look like http://localhost:8080/index.html. This will further depend on the Run Configuration in IntelliJ, but it's generally true for mvn clean package spring-boot:run command.

            Bottom line is, the URL is different since you chosen to use standalone Tomcat.


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


            No vulnerabilities reported

            Install knowledge-extraction

            You can download it from GitHub.
            You can use knowledge-extraction 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 knowledge-extraction 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 For Gradle installation, please refer .


            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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          • CLI

            gh repo clone 5agado/knowledge-extraction

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