SIGKDD Innovation Award
E72222
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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ACM SIGKDD Innovation Award | 7 |
| SIGKDD Innovation Award canonical | 3 |
| KDD Innovation Award | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T574741 — 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 Innovation Award Context triple: [SIGKDD, givesAward, SIGKDD Innovation Award]
-
A.
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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B.
ACM Software System Award
The ACM Software System Award is a prestigious annual honor recognizing influential software systems that have had lasting impact on computing and society.
-
C.
ACM Prize in Computing
The ACM Prize in Computing is a prestigious annual award recognizing early to mid-career computer scientists for influential and innovative contributions to the field of computing.
-
D.
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.
-
E.
Dr. Dobb’s Excellence in Programming Award
Dr. Dobb’s Excellence in Programming Award is a prestigious software development honor recognizing outstanding contributions to the practice and advancement of programming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: SIGKDD Innovation Award Target entity description: 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.
-
A.
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.
-
B.
ACM Software System Award
The ACM Software System Award is a prestigious annual honor recognizing influential software systems that have had lasting impact on computing and society.
-
C.
ACM Prize in Computing
The ACM Prize in Computing is a prestigious annual award recognizing early to mid-career computer scientists for influential and innovative contributions to the field of computing.
-
D.
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.
-
E.
Dr. Dobb’s Excellence in Programming Award
Dr. Dobb’s Excellence in Programming Award is a prestigious software development honor recognizing outstanding contributions to the practice and advancement of programming.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
academic award
ⓘ
computer science award ⓘ data mining award ⓘ knowledge discovery award ⓘ |
| awardFor |
influential technical contributions in data mining
ⓘ
long-lasting technical contributions in knowledge discovery ⓘ outstanding innovations in data mining and knowledge discovery ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| discipline | computer science ⓘ |
| field |
data mining
ⓘ
knowledge discovery in databases ⓘ |
| frequency | annual ⓘ |
| importance | one of the highest honors in data mining ⓘ |
| inception | 2000 ⓘ |
| language | English ⓘ |
| notableRecipient |
Charu C. Aggarwal
ⓘ
Christos Faloutsos ⓘ Gregory Piatetsky-Shapiro ⓘ Heikki Mannila ⓘ Huan Liu ⓘ Hui Xiong ⓘ Jiawei Han ⓘ Jon Kleinberg ⓘ Jure Leskovec ⓘ Pedro Domingos ⓘ Philip S. Yu ⓘ Raghu Ramakrishnan ⓘ Rakesh Agrawal ⓘ Surajit Chaudhuri ⓘ Usama Fayyad ⓘ Vipin Kumar ⓘ |
| presentedAt |
SIGKDD
ⓘ
surface form:
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
|
| presentedBy |
SIGKDD
ⓘ
surface form:
ACM SIGKDD
|
| relatedTo |
SIGKDD
ⓘ
surface form:
KDD Conference
|
| selectionCriteria |
long-term influence on the field
ⓘ
originality of contributions ⓘ significance to practice and research ⓘ technical impact ⓘ |
| sponsor |
SIGKDD
ⓘ
surface form:
ACM Special Interest Group on Knowledge Discovery and Data Mining
|
| status | active ⓘ |
| subDiscipline |
data science
ⓘ
machine learning ⓘ |
| website | https://www.kdd.org/awards/sigkdd-innovation-award ⓘ |
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 Innovation Award Description of subject: 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.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.