CSPARQL-engine | reasoning over RDF stream | Data Manipulation library

 by   streamreasoning Java Version: Current License: Non-SPDX

kandi X-RAY | CSPARQL-engine Summary

kandi X-RAY | CSPARQL-engine Summary

CSPARQL-engine is a Java library typically used in Utilities, Data Manipulation applications. CSPARQL-engine has no bugs, it has no vulnerabilities, it has build file available and it has low support. However CSPARQL-engine has a Non-SPDX License. You can download it from GitHub.

Reasoning over RDF stream made easy. The project contains parent pom in the root and a number of module that inherit from parent pom. To install the csparql-core jar, run mvn install on parent pom.

            kandi-support Support

              CSPARQL-engine has a low active ecosystem.
              It has 28 star(s) with 20 fork(s). There are 12 watchers for this library.
              It had no major release in the last 6 months.
              There are 15 open issues and 5 have been closed. On average issues are closed in 25 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of CSPARQL-engine is current.

            kandi-Quality Quality

              CSPARQL-engine has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              CSPARQL-engine has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              CSPARQL-engine 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.
              CSPARQL-engine saves you 21888 person hours of effort in developing the same functionality from scratch.
              It has 42939 lines of code, 1340 functions and 136 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CSPARQL-engine and discovered the below as its top functions. This is intended to give you an instant insight into CSPARQL-engine implemented functionality, and help decide if they suit your requirements.
            • Match tokens
            • Resolves a COMED_NAME
            • ResolveLANATCHES
            • Resolve a Double
            • Register a CPE query
            • Register a query
            • Registers a query
            • Getter for tokens
            • Resolves a Double
            • Generate the error message
            • Produces a SPARQL query from the given AST
            • The add clause
            • Main entry point
            • Evaluate a SPARQL query
            • Iterate over the elements
            • Execute the eval
            • Update the snapshot
            • Returns registration info object
            • Produces a set of string names from the given stream
            • Evaluate the general query
            • Updates the model using the given observables
            • Evaluate a SPARQL query
            • Matches a query
            • Matches Token
            • MatchWithRegRegistry
            • Matches a query
            Get all kandi verified functions for this library.

            CSPARQL-engine Key Features

            No Key Features are available at this moment for CSPARQL-engine.

            CSPARQL-engine Examples and Code Snippets

            No Code Snippets are available at this moment for CSPARQL-engine.

            Community Discussions


            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:



            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


            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:



            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


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

            I have this data frame:



            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


            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.



            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

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


            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:



            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

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


            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.



            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


            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:



            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

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


            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:



            Answered 2022-Feb-03 at 10:59
            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


            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):



            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


            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:



            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


            No vulnerabilities reported

            Install CSPARQL-engine

            You can download it from GitHub.
            You can use CSPARQL-engine 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 CSPARQL-engine 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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