| OsProject | |
|---|---|
| id | snapquery |
| state | active |
| owner | WolfgangFahl |
| title | snapquery |
| url | https://github.com/WolfgangFahl/snapquery |
| version | 0.0.12 |
| description | Just Query wikidata and other SPARQL endpoints by qury name - a frontend to Introduce Named Queries and Named Query Middleware to wikidata and other SPARQL endpoints |
| date | 2024-07-13 |
| since | 2024-05-03 |
| until | |
Querying Knowledge Graphs such as wikidata that are based on SPARQL is too complex for mere mortals. A simple
snapquery cats
should work. See https://snapquery.bitplan.com/query/wikidata-examples/cats for an example
| OsProject | |
|---|---|
| id | snapquery |
| state | active |
| owner | WolfgangFahl |
| title | snapquery |
| url | https://github.com/WolfgangFahl/snapquery |
| version | 0.0.12 |
| description | Just Query wikidata and other SPARQL endpoints by qury name - a frontend to Introduce Named Queries and Named Query Middleware to wikidata and other SPARQL endpoints |
| date | 2024-07-13 |
| since | 2024-05-03 |
| until | |
Querying Knowledge Graphs such as wikidata that are based on SPARQL is too complex for mere mortals. A simple
snapquery cats
should work. See https://snapquery.bitplan.com/query/wikidata-examples/cats for an example
To nominate a query, you need to first identify yourself with a persistent identifier (PID) such as:
You can either enter such an ID directly or use the lookup functionality to do so.
After identifying yourself, you can then assign the following information to your query:
For example, the prominent cats query would be specified as:
# snapquery cats example
SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
OPTIONAL { ?item rdfs:label ?itemLabel. }
FILTER (LANG(?itemLabel) = "en")
}
http://snapquery.bitplan.com/docs
curl 'https://snapquery.bitplan.com/api/query/wikidata-examples/cats.mediawiki?limit=5'SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
}
LIMIT 5
| item | itemLabel |
|---|---|
| http://www.wikidata.org/entity/Q378619 | CC |
| http://www.wikidata.org/entity/Q498787 | Muezza |
| http://www.wikidata.org/entity/Q677525 | Orangey |
| http://www.wikidata.org/entity/Q851190 | Mrs. Chippy |
| http://www.wikidata.org/entity/Q893453 | Unsinkable Sam |
curl 'https://snapquery.bitplan.com/api/sparql/wikidata-examples/cats'
SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
}
snapquery -h
snapquery % snapquery -h
usage: snapquery [-h] [-a] [--apache APACHE] [-c] [-d]
[--debugServer DEBUGSERVER] [--debugPort DEBUGPORT]
[--debugRemotePath DEBUGREMOTEPATH]
[--debugLocalPath DEBUGLOCALPATH] [-l] [-i INPUT] [-rol]
[--host HOST] [--port PORT] [-s] [-V] [-ep ENDPOINTPATH]
[-en {wikidata,wikidata-triply,wikidata-qlever,wikidata-openlinksw,wikidata-scatter,orkg,dblp,dblp-qlever,dblp-trier,wikidata-scholarly-experimental,wikidata-main-experimental}]
[-idb] [-le] [-lm] [-ln] [-lg] [-tq] [--limit LIMIT]
[--params PARAMS] [--domain DOMAIN] [--namespace NAMESPACE]
[-qn QUERYNAME]
[-f {csv,json,html,xml,tsv,latex,mediawiki,raw,github}]
[--import IMPORT_FILE] [--context CONTEXT]
[--prefix_merger {RAW,SIMPLE_MERGER,ANALYSIS_MERGER}]
[query_id]
Introduce Named Queries and Named Query Middleware to wikidata
positional arguments:
query_id Query ID in the format 'name[--namespace[@domain]]'
options:
-h, --help show this help message and exit
-a, --about show about info [default: False]
--apache APACHE create an apache configuration file for the given
domain
-c, --client start client [default: False]
-d, --debug show debug info [default: False]
--debugServer DEBUGSERVER
remote debug Server
--debugPort DEBUGPORT
remote debug Port
--debugRemotePath DEBUGREMOTEPATH
remote debug Server path mapping - remotePath - path
on debug server
--debugLocalPath DEBUGLOCALPATH
remote debug Server path mapping - localPath - path on
machine where python runs
-l, --local run with local file system access [default: False]
-i INPUT, --input INPUT
input file
-rol, --render_on_load
render on load [default: False]
--host HOST the host to serve / listen from [default: localhost]
--port PORT the port to serve from [default: 9862]
-s, --serve start webserver [default: False]
-V, --version show program's version number and exit
-ep ENDPOINTPATH, --endpointPath ENDPOINTPATH
path to yaml file to configure endpoints to use for
queries
-en {wikidata,wikidata-triply,wikidata-qlever,wikidata-openlinksw,wikidata-scatter,orkg,dblp,dblp-qlever,dblp-trier,wikidata-scholarly-experimental,wikidata-main-experimental}, --endpointName {wikidata,wikidata-triply,wikidata-qlever,wikidata-openlinksw,wikidata-scatter,orkg,dblp,dblp-qlever,dblp-trier,wikidata-scholarly-experimental,wikidata-main-experimental}
Name of the endpoint to use for queries - use
--listEndpoints to list available endpoints
-idb, --initDatabase initialize the database
-le, --listEndpoints show the list of available endpoints
-lm, --listMetaqueries
show the list of available metaqueries
-ln, --listNamespaces
show the list of available namespaces
-lg, --listGraphs show the list of available graphs
-tq, --testQueries test run the queries
--limit LIMIT set limit parameter of query
--params PARAMS query parameters as Key-value pairs in the format
key1=value1,key2=value2
--domain DOMAIN domain to filter queries
--namespace NAMESPACE
namespace to filter queries
-qn QUERYNAME, --queryName QUERYNAME
run a named query
-f {csv,json,html,xml,tsv,latex,mediawiki,raw,github}, --format {csv,json,html,xml,tsv,latex,mediawiki,raw,github}
--import IMPORT_FILE Import named queries from a JSON file.
--context CONTEXT context name to store the execution statistics with
--prefix_merger {RAW,SIMPLE_MERGER,ANALYSIS_MERGER}
query prefix merger to use
snapquery --listEndpoints
wikidata:https://query.wikidata.org:https://query.wikidata.org/sparql(POST)
qlever-wikidata:https://qlever.cs.uni-freiburg.de/wikidata:https://qlever.cs.uni-freiburg.de/api/wikidata(POST)
snapquery -qn cats --limit 10 -f mediawiki
SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
}
| item | itemLabel |
|---|---|
| http://www.wikidata.org/entity/Q378619 | CC |
| http://www.wikidata.org/entity/Q498787 | Muezza |
| http://www.wikidata.org/entity/Q677525 | Orangey |
| http://www.wikidata.org/entity/Q851190 | Mrs. Chippy |
| http://www.wikidata.org/entity/Q893453 | Unsinkable Sam |
| http://www.wikidata.org/entity/Q1050083 | Catmando |
| http://www.wikidata.org/entity/Q1185550 | Oscar |
| http://www.wikidata.org/entity/Q1201902 | Tama |
| http://www.wikidata.org/entity/Q1207136 | Dewey Readmore Books |
| http://www.wikidata.org/entity/Q1371145 | Socks |
snapquery --namespace scholia -qn author_list-of-publications --params q=Q80 --limit 2 -f mediawiki
#defaultView:Table
PREFIX target: <http://www.wikidata.org/entity/Q80>
SELECT
(MIN(?dates) AS ?date)
?work ?workLabel
(GROUP_CONCAT(DISTINCT ?type_label; separator=", ") AS ?type)
(SAMPLE(?pages_) AS ?pages)
?venue ?venueLabel
(GROUP_CONCAT(DISTINCT ?author_label; separator=", ") AS ?authors)
(CONCAT("../authors/", GROUP_CONCAT(DISTINCT SUBSTR(STR(?author), 32); separator=",")) AS ?authorsUrl)
WHERE {
?work wdt:P50 target: .
?work wdt:P50 ?author .
OPTIONAL {
?author rdfs:label ?author_label_ . FILTER (LANG(?author_label_) = 'en')
}
BIND(COALESCE(?author_label_, SUBSTR(STR(?author), 32)) AS ?author_label)
OPTIONAL { ?work wdt:P31 ?type_ . ?type_ rdfs:label ?type_label . FILTER (LANG(?type_label) = 'en') }
?work wdt:P577 ?datetimes .
BIND(xsd:date(?datetimes) AS ?dates)
OPTIONAL { ?work wdt:P1104 ?pages_ }
OPTIONAL { ?work wdt:P1433 ?venue }
SERVICE wikibase:label { bd:serviceParam wikibase:language "en,da,de,es,fr,jp,no,ru,sv,zh". }
}
GROUP BY ?work ?workLabel ?venue ?venueLabel
ORDER BY DESC(?date)
LIMIT 2
| date | work | workLabel | type | venue | venueLabel | authors | authorsUrl | pages |
|---|---|---|---|---|---|---|---|---|
| 2023-07-07 | http://www.wikidata.org/entity/Q125750037 | Linked Data - The Story So Far | chapter | http://www.wikidata.org/entity/Q125750044 | Linking the World’s Information | Christian Bizer, Tom Heath, Tim Berners-Lee | ../authors/Q17744291,Q17744272,Q80 | |
| 2017-01-01 | http://www.wikidata.org/entity/Q30096408 | Linked Data Notifications: A Resource-Centric Communication Protocol | scholarly article | http://www.wikidata.org/entity/Q30092087 | The Semantic Web: 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I | Christoph Lange, Amy Guy, Sarven Capadisli, Sören Auer, Tim Berners-Lee | ../authors/Q30276490,Q30086138,Q30078591,Q27453085,Q80 | 17 |
snapquery --import samples/scholia.json
Importing Named Queries: 100%|████████████| 372/372 [00:00<00:00, 226127.69it/s]
Imported 372 named queries from samples/scholia.json.
pip install snapquery
# alternatively if your pip is not a python3 pip
pip3 install snapquery
# local install from source directory of snapquery
pip install .
pip install snapquery -U
# alternatively if your pip is not a python3 pip
pip3 install snapquery -U
| OsProject | |
|---|---|
| id | snapquery |
| state | active |
| owner | WolfgangFahl |
| title | snapquery |
| url | https://github.com/WolfgangFahl/snapquery |
| version | 0.0.12 |
| description | Just Query wikidata and other SPARQL endpoints by qury name - a frontend to Introduce Named Queries and Named Query Middleware to wikidata and other SPARQL endpoints |
| date | 2024-07-13 |
| since | 2024-05-03 |
| until | |
Querying Knowledge Graphs such as wikidata that are based on SPARQL is too complex for mere mortals. A simple
snapquery cats
should work. See https://snapquery.bitplan.com/query/wikidata-examples/cats for an example
scripts/restore_db
Importing Named Queries: 100%|██████████████████| 28/28 [00:25<00:00, 1.09it/s]
Imported 28 named queries from samples/ceur-ws.json.
Importing Named Queries: 100%|████████████| 372/372 [00:00<00:00, 210308.81it/s]
Imported 372 named queries from samples/scholia.json.
Importing Named Queries: 100%|████████████| 298/298 [00:00<00:00, 252149.00it/s]
Imported 298 named queries from samples/wikidata-examples.json.