rdf-reasoner | Creates triples for various entailment regimes | Data Manipulation library

 by   ruby-rdf Ruby Version: 0.8.0 License: Unlicense

kandi X-RAY | rdf-reasoner Summary

kandi X-RAY | rdf-reasoner Summary

rdf-reasoner is a Ruby library typically used in Utilities, Data Manipulation applications. rdf-reasoner has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Reasons over RDFS/OWL vocabularies and schema.org to generate statements which are entailed based on base RDFS/OWL rules along with vocabulary information. It can also be used to ask specific questions, such as if a given object is consistent with the vocabulary ruleset. This can be used to implement SPARQL Entailment Regimes and RDF Schema entailment.
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            kandi-support Support

              rdf-reasoner has a low active ecosystem.
              It has 18 star(s) with 5 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 4 have been closed. On average issues are closed in 134 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rdf-reasoner is 0.8.0

            kandi-Quality Quality

              rdf-reasoner has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rdf-reasoner is licensed under the Unlicense License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              rdf-reasoner releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              rdf-reasoner saves you 1422 person hours of effort in developing the same functionality from scratch.
              It has 3178 lines of code, 66 functions and 21 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rdf-reasoner and discovered the below as its top functions. This is intended to give you an instant insight into rdf-reasoner implemented functionality, and help decide if they suit your requirements.
            • Is this resource??
            • Prints a description of the class .
            • Returns true if this resource is compatible with a range of domain
            • Extracts all subclasses from this class .
            • Returns true if a literal literal literal literal range
            • Returns true if a domain object is valid for this domain .
            • This is an Enumerator of the DSL .
            • Appends the declarations to this schema .
            • Get the node
            • Returns true if the resource is valid
            Get all kandi verified functions for this library.

            rdf-reasoner Key Features

            No Key Features are available at this moment for rdf-reasoner.

            rdf-reasoner Examples and Code Snippets

            No Code Snippets are available at this moment for rdf-reasoner.

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

            ...

            ANSWER

            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

            ...

            ANSWER

            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:

            ...

            ANSWER

            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

            ...

            ANSWER

            Answered 2022-Feb-03 at 10:59
            library(tidyverse)
            
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

            ...

            ANSWER

            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

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

            Vulnerabilities

            No vulnerabilities reported

            Install rdf-reasoner

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            Support

            Do your best to adhere to the existing coding conventions and idioms.Don't use hard tabs, and don't leave trailing whitespace on any line. Before committing, run git diff --check to make sure of this.Do document every method you add using YARD annotations. Read the tutorial or just look at the existing code for examples.Don't touch the .gemspec, VERSION or AUTHORS files. If you need to change them, do so on your private branch only.Do feel free to add yourself to the CREDITS file and the corresponding list in the the README. Alphabetical order applies.Do note that in order for us to merge any non-trivial changes (as a rule of thumb, additions larger than about 15 lines of code), we need an explicit public domain dedication on record from you, which you will be asked to agree to on the first commit to a repo within the organization. Note that the agreement applies to all repos in the Ruby RDF organization.
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            https://github.com/ruby-rdf/rdf-reasoner.git

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            gh repo clone ruby-rdf/rdf-reasoner

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            git@github.com:ruby-rdf/rdf-reasoner.git

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