Dontopedia

Data Filtering Logic

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Data Filtering Logic has 34 facts recorded in Dontopedia across 9 references, with 6 live disagreements.

34 facts·24 predicates·9 sources·6 in dispute

Mostly:should be(4), rdf:type(3), uses data source(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (15)

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.

describesDescribes(2)

achievedByAchieved by(1)

appliesToApplies to(1)

combinedWithCombined With(1)

describesImplementationDescribes Implementation(1)

enforcedByEnforced by(1)

hasCodeExampleHas Code Example(1)

hasStepHas Step(1)

implementedByImplemented by(1)

possiblyUsedForPossibly Used for(1)

precedesPrecedes(1)

recommendsApproachRecommends Approach(1)

requiresRequires(1)

usesApproachUses Approach(1)

Other facts (33)

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.

33 facts
PredicateValueRef
Should Beefficient[6]
Should Bescalable[6]
Should BeEfficient[8]
Should BeScalable[8]
Rdf:typeCode Section[1]
Rdf:typeSoftware Component[4]
Rdf:typeAlgorithm[6]
Uses Data SourceDatabase[3]
Uses Data SourceData Source[3]
Should Beefficient[5]
Should Bescalable[5]
Optimized forefficiency[6]
Optimized forscalability[6]
Depends onUser Roles Variable[7]
Depends onUser Roles[9]
Describesfilter data based on user permissions[1]
Enforces2% limit[1]
RequiresKeycloak Openid Instance[1]
Enforces Limit2 Percent Limit[1]
Describes ImplementationStep 2[1]
Business Rule2 Percent Limit[1]
Depends on PermissionsUser Permissions[2]
Implemented inApplication[3]
Filters byUser Role[3]
RetrievesRelevant Subset[3]
ExecutesData Retrieval[3]
EnablesData Subsetting[3]
Operates onExpansion Data[3]
Can Usedatabase-queries[5]
Applies Whendata-stored-in-database[5]
Can Use Mechanismother-mechanisms[5]
ChecksUser Role[7]
FiltersData According to Role[7]

Timeline

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.

typebeam/c0c05128-0820-4a1b-8950-6256781d49d9
ex:CodeSection
labelbeam/c0c05128-0820-4a1b-8950-6256781d49d9
Data Filtering Logic
describesbeam/c0c05128-0820-4a1b-8950-6256781d49d9
filter data based on user permissions
enforcesbeam/c0c05128-0820-4a1b-8950-6256781d49d9
2% limit
requiresbeam/c0c05128-0820-4a1b-8950-6256781d49d9
ex:keycloak-openid-instance
enforcesLimitbeam/c0c05128-0820-4a1b-8950-6256781d49d9
ex:2-percent-limit
describesImplementationbeam/c0c05128-0820-4a1b-8950-6256781d49d9
ex:step-2
businessRulebeam/c0c05128-0820-4a1b-8950-6256781d49d9
ex:2-percent-limit
dependsOnPermissionsbeam/e7d9b910-d5c3-4305-8272-c34126295ebb
ex:user-permissions
implementedInbeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:application
filtersBybeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:user-role
usesDataSourcebeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:database
usesDataSourcebeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:data-source
retrievesbeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:relevant-subset
executesbeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:data-retrieval
enablesbeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:data-subsetting
operatesOnbeam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
ex:expansion-data
typebeam/bf8134fc-dae0-4408-a38e-6c0dcaaefede
ex:SoftwareComponent
should-bebeam/fc774cd6-464f-4e54-8706-bbf95a2d466f
efficient
should-bebeam/fc774cd6-464f-4e54-8706-bbf95a2d466f
scalable
can-usebeam/fc774cd6-464f-4e54-8706-bbf95a2d466f
database-queries
applies-whenbeam/fc774cd6-464f-4e54-8706-bbf95a2d466f
data-stored-in-database
can-use-mechanismbeam/fc774cd6-464f-4e54-8706-bbf95a2d466f
other-mechanisms
typebeam/fca11d63-977d-4845-9c1f-1d772a90c3cd
ex:Algorithm
optimizedForbeam/fca11d63-977d-4845-9c1f-1d772a90c3cd
efficiency
optimizedForbeam/fca11d63-977d-4845-9c1f-1d772a90c3cd
scalability
shouldBebeam/fca11d63-977d-4845-9c1f-1d772a90c3cd
efficient
shouldBebeam/fca11d63-977d-4845-9c1f-1d772a90c3cd
scalable
checksbeam/f216d1ac-3f4a-4b43-b90a-ffab517cb825
ex:user-role
filtersbeam/f216d1ac-3f4a-4b43-b90a-ffab517cb825
ex:data-according-to-role
dependsOnbeam/f216d1ac-3f4a-4b43-b90a-ffab517cb825
ex:user-roles-variable
shouldBebeam/9351ef61-1a90-471d-b2b1-53b2ff81a046
ex:efficient
shouldBebeam/9351ef61-1a90-471d-b2b1-53b2ff81a046
ex:scalable
dependsOnbeam/a2f49980-b56e-4c2f-9c1b-b7bc5b04f677
ex:user-roles

References (9)

9 references
  1. ctx:claims/beam/c0c05128-0820-4a1b-8950-6256781d49d9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c0c05128-0820-4a1b-8950-6256781d49d9
      Show excerpt
      keycloak_admin = KeycloakAdmin(server_url="https://my-keycloak-server.com", username="my-username", password="my-password", realm_name="my-realm")
  2. ctx:claims/beam/e7d9b910-d5c3-4305-8272-c34126295ebb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e7d9b910-d5c3-4305-8272-c34126295ebb
      Show excerpt
      # Limit exposure to 2% of the data # ... (not sure how to implement this part) ``` Can someone help me figure out how to limit the exposure to only 2% of the sparse data? ->-> 4,16 [Turn 8645] Assistant: Certainly! To limit exposure to onl
  3. ctx:claims/beam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7646fe36-4a34-4e09-b5b8-b96aa46b4805
      Show excerpt
      password="password", realm_name="my-realm" ) # Get the realm realm = keycloak_admin.realm_name # Create a new role role = keycloak_admin.create_role( realm, "expanded-data-access", ["view", "edit"] ) # Limit exposure
  4. ctx:claims/beam/bf8134fc-dae0-4408-a38e-6c0dcaaefede
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bf8134fc-dae0-4408-a38e-6c0dcaaefede
      Show excerpt
      How can I modify this code to limit the exposure to only 2% of the tokenized data? ->-> 5,16 [Turn 10789] Assistant: To limit exposure to only 2% of the tokenized data using Keycloak roles, you need to implement a combination of role-based
  5. ctx:claims/beam/fc774cd6-464f-4e54-8706-bbf95a2d466f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/fc774cd6-464f-4e54-8706-bbf95a2d466f
      Show excerpt
      - **Authentication**: - Ensure that users authenticate and obtain a valid token before accessing the data. - Use the `KeycloakOpenID` client to handle authentication and token validation. - **Data Filtering**: - Implement the data fi
  6. ctx:claims/beam/fca11d63-977d-4845-9c1f-1d772a90c3cd
  7. ctx:claims/beam/f216d1ac-3f4a-4b43-b90a-ffab517cb825
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f216d1ac-3f4a-4b43-b90a-ffab517cb825
      Show excerpt
      Next, assign the appropriate roles to users based on their access level. ```python # Assign roles to users user_id = "my-user-id" # Assign full access role keycloak_admin.assign_role(user_id=user_id, role_id=full_access_role["id"]) # Ass
  8. ctx:claims/beam/9351ef61-1a90-471d-b2b1-53b2ff81a046
  9. ctx:claims/beam/a2f49980-b56e-4c2f-9c1b-b7bc5b04f677
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a2f49980-b56e-4c2f-9c1b-b7bc5b04f677
      Show excerpt
      keycloak_admin.assign_role(user_id=user_id, role_id=full_access_role["id"]) ``` ### Step 3: Implement Data Filtering Logic When fetching data, check the user's role and filter the data accordingly. For users with different access levels,

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.