ACM SIGMOD Record
E73299
ACM SIGMOD Record is a quarterly newsletter and publication of the ACM Special Interest Group on Management of Data, featuring articles, surveys, and reports on database research and practice.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ACM SIGMOD Record canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T574579 — 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: ACM SIGMOD Record Context triple: [SIGMOD, publishes, ACM SIGMOD Record]
-
A.
SIGMOD
SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
-
B.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
-
C.
ACM Transactions on Management Information Systems
ACM Transactions on Management Information Systems is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research at the intersection of information technology, management, and organizational systems.
-
D.
ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
-
E.
ACM Transactions series
The ACM Transactions series is a collection of peer-reviewed scholarly journals published by the Association for Computing Machinery, each focusing on a specific area of computer science and information technology research.
- 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: ACM SIGMOD Record Target entity description: ACM SIGMOD Record is a quarterly newsletter and publication of the ACM Special Interest Group on Management of Data, featuring articles, surveys, and reports on database research and practice.
-
A.
SIGMOD
SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
-
B.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
-
C.
ACM Transactions on Management Information Systems
ACM Transactions on Management Information Systems is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research at the intersection of information technology, management, and organizational systems.
-
D.
ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
-
E.
ACM Transactions series
The ACM Transactions series is a collection of peer-reviewed scholarly journals published by the Association for Computing Machinery, each focusing on a specific area of computer science and information technology research.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
newsletter ⓘ quarterly publication ⓘ |
| associatedWith |
ACM
ⓘ
ACM SIGMOD Conference ⓘ
surface form:
ACM SIGMOD conference
|
| audience |
database practitioners
ⓘ
database researchers ⓘ graduate students in computer science ⓘ |
| discipline | database research ⓘ |
| field |
computer science
ⓘ
data management ⓘ database systems ⓘ |
| focusesOn |
data management technology
ⓘ
database applications ⓘ database systems practice ⓘ database theory ⓘ |
| format |
journal
ⓘ
newsletter ⓘ |
| frequency | quarterly ⓘ |
| hasContentType |
book reviews
ⓘ
conference reports ⓘ editorials ⓘ industrial practice reports ⓘ opinion pieces ⓘ research articles ⓘ survey articles ⓘ technical reports ⓘ workshop reports ⓘ |
| language | English ⓘ |
| medium |
online
ⓘ
print ⓘ |
| publishedBy |
SIGMOD
ⓘ
surface form:
ACM Special Interest Group on Management of Data
Association for Computing Machinery ⓘ |
| publisher |
SIGMOD
ⓘ
surface form:
ACM SIGMOD
|
| subjectArea |
NoSQL databases
ⓘ
big data systems ⓘ cloud data management ⓘ data analytics ⓘ data integration ⓘ data models ⓘ data warehousing ⓘ distributed data management ⓘ query processing ⓘ relational databases ⓘ stream data management ⓘ transaction management ⓘ |
| title | ACM SIGMOD Record self-link ⓘ |
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: ACM SIGMOD Record Description of subject: ACM SIGMOD Record is a quarterly newsletter and publication of the ACM Special Interest Group on Management of Data, featuring articles, surveys, and reports on database research and practice.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.