SQLite

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

SQLite has 35 facts recorded in Dontopedia across 12 references, with 4 live disagreements.

35 facts·15 predicates·12 sources·4 in dispute

Mostly:rdf:type(11), file extension(2), storage type(2)

Rdf:typein dispute`rdf:type`

Database Type^[1]all time · E0d1a704 994b 43a3 A254 68461b2929e7
Database^[2]sourceall time · 58dec2ec 0bea 4598 B6a8 26ee382cd746
Database Type^[4]all time · 9ce89a2d 2880 45c7 9e68 B5e679ad3f58
Relational Database^[5]all time · 5b409741 90c2 4de0 A1d4 3061710e4ca1
Database^[6]all time · 409
Database^[7]all time · 233ef3d0 0b14 4782 B56d 1bcfd90eb4de
Database Management System^[8]all time · 7f1bf55c Af4e 4c06 9bda D1d5f04a1682
Database^[9]all time · 3052a23d 22b1 40de B501 820954fd4ef7
Relational Database^[10]all time · C4d5f775 Efb9 4b47 9d02 F52e44667335
Relational Database^[11]all time · 39688d70 2fa0 464e B4cb B00c300076b1

Inbound mentions (14)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`usesDatabase`Uses Database(2)

Omega Botex:omega-bot
Web Applicationex:web-application

`connectsTo`Connects to(1)

Database Classex:database-class

`encapsulates`Encapsulates(1)

Database Classex:database-class

`hasValue`Has Value(1)

Database Uriex:database-uri

`isStoredIn`Is Stored in(1)

Metadata Tableex:metadata-table

`outputStorage`Output Storage(1)

Metadata Extraction Scriptex:metadata-extraction-script

`queriesDatabase`Queries Database(1)

Avatar Generator From Chatex:avatar-generator-from-chat

`specifiesStorageBackend`Specifies Storage Backend(1)

Message 2025 11 27 17 30ex:message-2025-11-27-17-30

`storedIn`Stored in(1)

User Modelex:User-model

`stores-data-in`Stores Data in(1)

Metadata Extraction Scriptex:metadata-extraction-script

`storesDataIn`Stores Data in(1)

Metadata Extraction Implementationex:metadata-extraction-implementation

`uses`Uses(1)

Comprehensive Solutionex:comprehensive-solution

`usesTechnology`Uses Technology(1)

Example Implementationex:example-implementation

Other facts (17)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

17 facts

Predicate	Value	Ref
File Extension	.db	[1]
File Extension	.db	[4]
Storage Type	file-based	[1]
Storage Type	file-based	[7]
Used by	App Py	[4]
Used by	Metadata Extraction	[11]
File Path	example.db	[1]
Inverse of	Database Type Sqlite	[1]
Stores	User Model	[1]
Type	Database System	[3]
File Format	Db File	[4]
File Location	challenges.db	[5]
Has Missing Column	ai_detected_gender	[6]
Characteristic	Simple Embedded System	[8]
Suitable for	Simple Applications	[8]
Used in	Example Context	[8]
Stores Metadata	Metadata Table	[11]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

35 undated

—

typebeam/e0d1a704-994b-43a3-a254-68461b2929e7

ex:DatabaseType

—

filePathbeam/e0d1a704-994b-43a3-a254-68461b2929e7

example.db

—

inverseOfbeam/e0d1a704-994b-43a3-a254-68461b2929e7

ex:database-type-sqlite

—

fileExtensionbeam/e0d1a704-994b-43a3-a254-68461b2929e7

.db

—

storageTypebeam/e0d1a704-994b-43a3-a254-68461b2929e7

file-based

—

storesbeam/e0d1a704-994b-43a3-a254-68461b2929e7

ex:User-model

—

typebeam/58dec2ec-0bea-4598-b6a8-26ee382cd746

ex:Database

—

labelbeam/58dec2ec-0bea-4598-b6a8-26ee382cd746

SQLite

—

typebeam/4c68fa72-0873-4134-8cf9-174b084b4338

ex:database-system

—

typebeam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58

ex:DatabaseType

—

fileFormatbeam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58

ex:db-file

—

fileExtensionbeam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58

.db

—

usedBybeam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58

ex:app-py

—

typebeam/5b409741-90c2-4de0-a1d4-3061710e4ca1

ex:RelationalDatabase

—

labelbeam/5b409741-90c2-4de0-a1d4-3061710e4ca1

SQLite Database

—

fileLocationbeam/5b409741-90c2-4de0-a1d4-3061710e4ca1

challenges.db

—

typeblah/omega/409

ex:Database

—

hasMissingColumnblah/omega/409

ai_detected_gender

—

typebeam/233ef3d0-0b14-4782-b56d-1bcfd90eb4de

ex:Database

—

labelbeam/233ef3d0-0b14-4782-b56d-1bcfd90eb4de

tasks.db

—

storageTypebeam/233ef3d0-0b14-4782-b56d-1bcfd90eb4de

file-based

—

typebeam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682

ex:DatabaseManagementSystem

—

labelbeam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682

SQLite

—

characteristicbeam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682

ex:SimpleEmbeddedSystem

—

suitableForbeam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682

ex:SimpleApplications

—

usedInbeam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682

ex:ExampleContext

—

typebeam/3052a23d-22b1-40de-b501-820954fd4ef7

ex:Database

—

labelbeam/3052a23d-22b1-40de-b501-820954fd4ef7

SQLite database

—

typebeam/c4d5f775-efb9-4b47-9d02-f52e44667335

ex:RelationalDatabase

—

labelbeam/c4d5f775-efb9-4b47-9d02-f52e44667335

SQLite Database

—

typebeam/39688d70-2fa0-464e-b4cb-b00c300076b1

ex:RelationalDatabase

—

labelbeam/39688d70-2fa0-464e-b4cb-b00c300076b1

SQLite database

—

usedBybeam/39688d70-2fa0-464e-b4cb-b00c300076b1

ex:metadata-extraction

—

storesMetadatabeam/39688d70-2fa0-464e-b4cb-b00c300076b1

ex:metadata-table

—

typebeam/93a1bd98-8d8b-4862-aaa1-546b545ae947

ex:Database

References (12)

12 references

[1]E0d1a704 994b 43a3 A254 68461b2929e76 facts
ctx:claims/beam/e0d1a704-994b-43a3-a254-68461b2929e7
- full textbeam-chunk
  text/plain1 KBdoc:beam/e0d1a704-994b-43a3-a254-68461b2929e7
  Show excerpt
  [Turn 556] User: I'm evaluating different technology stacks for my project, and I'm considering using a hybrid approach that combines multiple frameworks and libraries. Can you help me create a simple example that demonstrates how to integr…
[2]58dec2ec 0bea 4598 B6a8 26ee382cd7462 facts
ctx:claims/beam/58dec2ec-0bea-4598-b6a8-26ee382cd746
- full textbeam-chunk
  text/plain1 KBdoc:beam/58dec2ec-0bea-4598-b6a8-26ee382cd746
  Show excerpt
  "author": "John Doe", "date": "2022-01-01", "metadata1": "Value1", "metadata2": "Value2", "metadata3": "Value3", "metadata4": "Value4", "metadata5": "Value5", "metadata6": "Value6", "metadata7": "Value7",…
[3]4c68fa72 0873 4134 8cf9 174b084b43381 fact
ctx:claims/beam/4c68fa72-0873-4134-8cf9-174b084b4338
- full textbeam-chunk
  text/plain1 KBdoc:beam/4c68fa72-0873-4134-8cf9-174b084b4338
  Show excerpt
  print(f"Challenge: {challenge}, Priority: {details['priority']}, Description: {details['description']}") if __name__ == "__main__": main() ``` I'd love to see a more complex example that includes a database and a web interface…
[4]9ce89a2d 2880 45c7 9e68 B5e679ad3f584 facts
ctx:claims/beam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58
- full textbeam-chunk
  text/plain1 KBdoc:beam/9ce89a2d-2880-45c7-9e68-b5e679ad3f58
  Show excerpt
  To interact with Jira, you'll need to use the Jira REST API. You can use the `requests` library to make API calls to Jira. #### Install Required Packages First, ensure you have the necessary packages installed: ```sh pip install requests…
[5]5b409741 90c2 4de0 A1d4 3061710e4ca13 facts
ctx:claims/beam/5b409741-90c2-4de0-a1d4-3061710e4ca1
- full textbeam-chunk
  text/plain1 KBdoc:beam/5b409741-90c2-4de0-a1d4-3061710e4ca1
  Show excerpt
  [Turn 2181] Assistant: Absolutely! Linking Jira issues back to your local database allows you to maintain a consistent and integrated view of your project status. Here's how you can extend your Flask application to include this functionalit…
[6]4092 facts
ctx:discord/blah/omega/409
- full textomega-409
  text/plain3 KBdoc:agent/omega-409/ae6c99c2-8ba5-46c6-b366-846ad566d740
  Show excerpt
  [2025-11-29 20:03] omega [bot]: ✅ Responding (99% confidence) ||📋 Reason: AI: No explicit rejection signals present. The user directly addresses Omega by name with a clear request to upload a photo in the #omega channel, indicating an invit…
[7]233ef3d0 0b14 4782 B56d 1bcfd90eb4de3 facts
ctx:claims/beam/233ef3d0-0b14-4782-b56d-1bcfd90eb4de
- full textbeam-chunk
  text/plain1 KBdoc:beam/233ef3d0-0b14-4782-b56d-1bcfd90eb4de
  Show excerpt
  @app.on_event("startup") async def startup_event(): # Initialize any resources or connections here logging.info("Starting up...") @app.on_event("shutdown") async def shutdown_event(): # Clean up any resources or connections her…
[8]7f1bf55c Af4e 4c06 9bda D1d5f04a16825 facts
ctx:claims/beam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682
- full textbeam-chunk
  text/plain1 KBdoc:beam/7f1bf55c-af4e-4c06-9bda-d1d5f04a1682
  Show excerpt
  ### Step 3: Implement RBAC in Your System 1. **Database Schema**: Create tables to store roles, permissions, and role-permission mappings. 2. **User Role Assignment**: Implement logic to assign roles to users. 3. **Permission Checking**: I…
[9]3052a23d 22b1 40de B501 820954fd4ef72 facts
ctx:claims/beam/3052a23d-22b1-40de-b501-820954fd4ef7
[10]C4d5f775 Efb9 4b47 9d02 F52e446673352 facts
ctx:claims/beam/c4d5f775-efb9-4b47-9d02-f52e44667335
[11]39688d70 2fa0 464e B4cb B00c300076b14 facts
ctx:claims/beam/39688d70-2fa0-464e-b4cb-b00c300076b1
- full textbeam-chunk
  text/plain1 KBdoc:beam/39688d70-2fa0-464e-b4cb-b00c300076b1
  Show excerpt
  1. **Generate Test Dataset**: Run the first script to generate the test dataset and save it to `test_dataset.csv`. 2. **Manually Clean Dataset**: Run the second script to manually clean the dataset and save it to `manually_cleaned_dataset.c…
[12]93a1bd98 8d8b 4862 Aaa1 546b545ae9471 fact
ctx:claims/beam/93a1bd98-8d8b-4862-aaa1-546b545ae947
- full textbeam-chunk
  text/plain875 Bdoc:beam/93a1bd98-8d8b-4862-aaa1-546b545ae947
  Show excerpt
  1. **Install Required Libraries**: Ensure you have the necessary libraries installed: ```bash pip install tika sqlite3 ``` 2. **Run the Script**: Execute the script to extract metadata from the specified directory and store it in t…

Keep researching

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SQLite

Rdf:typein disputerdf:type

Inbound mentions (14)

usesDatabaseUses Database(2)

connectsToConnects to(1)

encapsulatesEncapsulates(1)

hasValueHas Value(1)

isStoredInIs Stored in(1)

outputStorageOutput Storage(1)

queriesDatabaseQueries Database(1)

specifiesStorageBackendSpecifies Storage Backend(1)

storedInStored in(1)

stores-data-inStores Data in(1)

storesDataInStores Data in(1)

usesUses(1)

usesTechnologyUses Technology(1)

Other facts (17)

Timeline

References (12)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`usesDatabase`Uses Database(2)

`connectsTo`Connects to(1)

`encapsulates`Encapsulates(1)

`hasValue`Has Value(1)

`isStoredIn`Is Stored in(1)

`outputStorage`Output Storage(1)

`queriesDatabase`Queries Database(1)

`specifiesStorageBackend`Specifies Storage Backend(1)

`storedIn`Stored in(1)

`stores-data-in`Stores Data in(1)

`storesDataIn`Stores Data in(1)

`uses`Uses(1)

`usesTechnology`Uses Technology(1)