sparql.anything | SPARQL Anything is a system for Semantic Web | Data Manipulation library
kandi X-RAY | sparql.anything Summary
kandi X-RAY | sparql.anything Summary
SPARQL Anything is a system for Semantic Web re-engineering that allows users to ... query anything with SPARQL.
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Top functions reviewed by kandi - BETA
- Extracts the metadata
- Uses the browser to navigate to the headless browser
- Populate the graph with properties from an element
- Returns the local name of an element
- Creates a XWPF document from the given properties
- Read the namespace argument
- Visit a SubOp Filter
- Visit the given opPath
- Enables function functions
- Creates a function with the given name and method name
- Performs a triplifier
- Compile a CSV file
- Compile triples from given properties
- Evaluate VTDs
- Sends an HTML GET to the client
- Recursively triples through the given properties
- Performs triplifier implementation
- Entry point for the SPARQL endpoint
- Extract components from an expression
- Evaluate the iterator
- Returns true if there are more bindings
- Translates the specified properties
- Populate the graph
- Get a subset of CSV records
- Download data source
- Parses the given properties
sparql.anything Key Features
sparql.anything Examples and Code Snippets
Lines of Code : 53License : Permissive (Apache-2.0)
Copy[
{
"name":"Friends",
"genres":[
"Comedy",
"Romance"
],
"language":"English",
"status":"Ended",
"premiered":"1994-09-22",
"summary":"Follows the personal and professional lives of six twenty to thirty-somethi usage: java -jar sparql.anything- -q query [-f format] [-i
filepath] [-l path] [-o filepath]
-f,--format OPTIONAL - Format of the output
file. Supported values: JSON, XML,
PREFIX xyz:
PREFIX rdf:
PREFIX fx:
SELECT ?seriesName
WHERE {
SERVICE {
fx:properties fx:location "https://sparql-anything.cc/example1.json" .
?tvSeries xyz:name ?seriesName .
?tvSeries xyz:stars ?star .
?sta Community Discussions
Trending Discussions on Data Manipulation
QUESTION
I am working with the R programming language.
I have the following dataset:
...ANSWER
Answered 2022-Apr-10 at 05:36Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").
QUESTION
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 1The code is as follows:
...ANSWER
Answered 2022-Mar-15 at 08:48One 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.
QUESTION
I have this data frame:
...ANSWER
Answered 2022-Mar-10 at 04:12We 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.
QUESTION
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 14:15Using rank and relocate:
QUESTION
I working on a Python project that has a DataFrame like this:
...ANSWER
Answered 2022-Feb-24 at 20:48You could use the idxmax method on axis:
QUESTION
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 05:22With 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.
QUESTION
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 11:16One option with dplyr could be:
QUESTION
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 10:59library(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)
QUESTION
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 10:11You may define a function FUN(n) that creates a data set as shown in OP.
QUESTION
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 15:25Here's one with regex. See regex101 link for the regex explanations
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sparql.anything
You can use sparql.anything 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 sparql.anything 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 .
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