DQS Server
E277004
DQS Server is the server-side component of SQL Server Data Quality Services that hosts and executes data quality knowledge bases, matching, and cleansing operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DQS Server canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2555857 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DQS Server Context triple: [Data Quality Services, hasComponent, DQS Server]
-
A.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
B.
Db2 Data Server Manager
Db2 Data Server Manager is IBM’s web-based administration and monitoring tool for managing, tuning, and analyzing Db2 database environments.
-
C.
AQUA (Advanced Query Accelerator)
AQUA (Advanced Query Accelerator) is a hardware-accelerated, cloud-native cache for Amazon Redshift that speeds up analytic query performance by offloading and parallelizing data processing closer to storage.
-
D.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
E.
DSO
DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DQS Server Target entity description: DQS Server is the server-side component of SQL Server Data Quality Services that hosts and executes data quality knowledge bases, matching, and cleansing operations.
-
A.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
B.
Db2 Data Server Manager
Db2 Data Server Manager is IBM’s web-based administration and monitoring tool for managing, tuning, and analyzing Db2 database environments.
-
C.
AQUA (Advanced Query Accelerator)
AQUA (Advanced Query Accelerator) is a hardware-accelerated, cloud-native cache for Amazon Redshift that speeds up analytic query performance by offloading and parallelizing data processing closer to storage.
-
D.
QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
-
E.
DSO
DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
SQL Server component
ⓘ
server-side component ⓘ |
| accessControlledBy | SQL Server security roles ⓘ |
| communicatesVia | TCP/IP ⓘ |
| configuredUsing | DQSInstaller.exe ⓘ |
| developedBy | Microsoft ⓘ |
| executes |
data cleansing operations
ⓘ
data matching operations ⓘ data quality knowledge bases ⓘ |
| exposes | data quality services to clients ⓘ |
| hosts | data quality knowledge bases ⓘ |
| language |
SQL
ⓘ
surface form:
T-SQL
|
| logsActivityIn | DQS_MAIN database ⓘ |
| monitoredUsing | SQL Server Management Studio ⓘ |
| partOf |
SQL Server
ⓘ
surface form:
Microsoft SQL Server
SQL Server Data Quality Services ⓘ |
| persists |
data quality rules
ⓘ
knowledge base domains ⓘ matching policies ⓘ |
| requires |
.NET Framework
ⓘ
SQL Server ⓘ
surface form:
SQL Server Database Engine
SQL Server ⓘ
surface form:
SQL Server instance
|
| runsOn | Windows Server ⓘ |
| storesMetadataIn |
DQS_MAIN database
ⓘ
DQS_PROJECTS database ⓘ DQS_STAGING_DATA database ⓘ |
| supports | data quality projects ⓘ |
| supportsAuthentication |
SQL Server authentication
ⓘ
Windows authentication ⓘ |
| supportsFeature |
data correction suggestions
ⓘ
domain management ⓘ knowledge discovery ⓘ matching policy execution ⓘ reference data services integration ⓘ |
| supportsIntegrationWith |
Master Data Services
ⓘ
SQL Server Integration Services ⓘ |
| supportsOperationMode |
batch data quality projects
ⓘ
interactive data quality projects ⓘ |
| supportsVersion |
SQL Server
ⓘ
surface form:
SQL Server 2012
SQL Server ⓘ
surface form:
SQL Server 2014
SQL Server ⓘ
surface form:
SQL Server 2016
SQL Server ⓘ
surface form:
SQL Server 2017
SQL Server ⓘ
surface form:
SQL Server 2019
|
| usedBy | DQS Client ⓘ |
| usedFor |
de-duplicating records
ⓘ
improving data quality ⓘ standardizing data ⓘ validating data values ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: DQS Server Description of subject: DQS Server is the server-side component of SQL Server Data Quality Services that hosts and executes data quality knowledge bases, matching, and cleansing operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.