SIGKDD Service Award
E72788
The SIGKDD Service Award is a prestigious annual honor recognizing individuals who have made exceptional contributions to the data mining and knowledge discovery community through dedicated professional service and leadership.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ACM SIGKDD Service Award | 4 |
| ACM SIGKDD awards | 1 |
| SIGKDD Service Award canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T574742 — 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.
Target entity: SIGKDD Service Award Context triple: [SIGKDD, givesAward, SIGKDD Service Award]
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A.
SIGKDD Innovation Award
The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
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B.
ACM SIGMOD Innovations Award
The ACM SIGMOD Innovations Award is a prestigious annual honor recognizing individuals who have made pioneering and highly influential contributions to the field of data management and database systems.
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C.
ACM SIGPLAN Distinguished Service Award
The ACM SIGPLAN Distinguished Service Award is a recognition given by the ACM Special Interest Group on Programming Languages to individuals who have made exceptional contributions to the programming languages community through dedicated service and leadership.
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D.
SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
-
E.
SIGCHI Lifetime Achievement Award
The SIGCHI Lifetime Achievement Award is a prestigious honor presented by the ACM Special Interest Group on Computer–Human Interaction to individuals who have made fundamental and sustained contributions to the field of human-computer interaction.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: SIGKDD Service Award Target entity description: The SIGKDD Service Award is a prestigious annual honor recognizing individuals who have made exceptional contributions to the data mining and knowledge discovery community through dedicated professional service and leadership.
-
A.
SIGKDD Innovation Award
The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
-
B.
ACM SIGMOD Innovations Award
The ACM SIGMOD Innovations Award is a prestigious annual honor recognizing individuals who have made pioneering and highly influential contributions to the field of data management and database systems.
-
C.
ACM SIGPLAN Distinguished Service Award
The ACM SIGPLAN Distinguished Service Award is a recognition given by the ACM Special Interest Group on Programming Languages to individuals who have made exceptional contributions to the programming languages community through dedicated service and leadership.
-
D.
SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
-
E.
SIGCHI Lifetime Achievement Award
The SIGCHI Lifetime Achievement Award is a prestigious honor presented by the ACM Special Interest Group on Computer–Human Interaction to individuals who have made fundamental and sustained contributions to the field of human-computer interaction.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
academic award
ⓘ
annual award ⓘ computer science award ⓘ service award ⓘ |
| alsoKnownAs |
SIGKDD Service Award
ⓘ
surface form:
ACM SIGKDD Service Award
|
| awardedFor |
leadership in the data mining and knowledge discovery community
ⓘ
professional service to the data mining community ⓘ significant contributions to the SIGKDD community ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| domain | computer science ⓘ |
| field |
data mining
ⓘ
data science ⓘ knowledge discovery in databases ⓘ |
| firstAwarded | 1999 ⓘ |
| frequency | annual ⓘ |
| hasAwardingBody | Association for Computing Machinery ⓘ |
| hasCategory |
ACM awards
ⓘ
Computer science awards ⓘ Data mining awards ⓘ |
| inception | 1999 ⓘ |
| language | English ⓘ |
| notableRecipient |
Charu C. Aggarwal
ⓘ
Christos Faloutsos ⓘ Gregory Piatetsky-Shapiro ⓘ Hans-Peter Kriegel ⓘ Heikki Mannila ⓘ Jiawei Han ⓘ Mohammed J. Zaki ⓘ Rakesh Agrawal ⓘ Usama Fayyad ⓘ Xindong Wu ⓘ |
| officialWebsite | https://www.kdd.org/awards/sigkdd-service-award ⓘ |
| partOf |
SIGKDD Service Award
self-linksurface differs
ⓘ
surface form:
ACM SIGKDD awards
|
| presentedAt |
SIGKDD
ⓘ
surface form:
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
|
| presentedBy |
SIGKDD
ⓘ
surface form:
ACM Special Interest Group on Knowledge Discovery and Data Mining
|
| relatedAward | SIGKDD Innovation Award ⓘ |
| selectionCriteria |
community building in data mining and KDD
ⓘ
long-term service to the KDD community ⓘ organizational leadership in conferences and journals ⓘ |
| sponsor |
SIGKDD
ⓘ
surface form:
ACM SIGKDD
|
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.
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.
Subject: SIGKDD Service Award Description of subject: The SIGKDD Service Award is a prestigious annual honor recognizing individuals who have made exceptional contributions to the data mining and knowledge discovery community through dedicated professional service and leadership.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.