ACM International Conference on Web Search and Data Mining
E86507
The ACM International Conference on Web Search and Data Mining (WSDM) is a leading annual computer science research conference focusing on web search, data mining, and related areas of information retrieval and machine learning.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ACM WSDM | 2 |
| WSDM | 2 |
| ACM International Conference on Web Search and Data Mining canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T712420 — 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 International Conference on Web Search and Data Mining Context triple: [ACM SIGWEB, sponsors, ACM International Conference on Web Search and Data Mining]
-
A.
ACM Transactions on the Web
ACM Transactions on the Web is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments related to web technologies and applications.
-
B.
ACM Web Science Conference
The ACM Web Science Conference is an interdisciplinary academic conference that explores the complex interactions between the Web’s technical infrastructure and its social, economic, and political impacts.
-
C.
SIGIR
SIGIR is a leading ACM Special Interest Group focused on advancing research and development in information retrieval and search technologies.
-
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 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.
- 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 International Conference on Web Search and Data Mining Target entity description: The ACM International Conference on Web Search and Data Mining (WSDM) is a leading annual computer science research conference focusing on web search, data mining, and related areas of information retrieval and machine learning.
-
A.
ACM Transactions on the Web
ACM Transactions on the Web is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments related to web technologies and applications.
-
B.
ACM Web Science Conference
The ACM Web Science Conference is an interdisciplinary academic conference that explores the complex interactions between the Web’s technical infrastructure and its social, economic, and political impacts.
-
C.
SIGIR
SIGIR is a leading ACM Special Interest Group focused on advancing research and development in information retrieval and search technologies.
-
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 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.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
annual event ⓘ computer science conference ⓘ |
| abbreviation | WSDM ⓘ |
| alsoKnownAs | ACM WSDM ⓘ |
| audience |
practitioners
ⓘ
researchers ⓘ students ⓘ |
| category |
top-tier data mining conference
ⓘ
top-tier web search conference ⓘ |
| field |
computer science
ⓘ
data mining ⓘ information retrieval ⓘ machine learning ⓘ web search ⓘ |
| firstHeld | 2008 ⓘ |
| frequency | annual ⓘ |
| hasComponent |
industry track
ⓘ
keynote talks ⓘ research paper track ⓘ tutorials ⓘ workshops ⓘ |
| language | English ⓘ |
| notableFor |
high-quality peer-reviewed research papers
ⓘ
interdisciplinary research on web data ⓘ |
| organizer |
ACM
ⓘ
Association for Computing Machinery ⓘ |
| publicationVenue | ACM Digital Library ⓘ |
| reviewProcess | peer reviewed ⓘ |
| scope |
large-scale web data analysis
ⓘ
theory and practice of data mining ⓘ theory and practice of web search ⓘ |
| shortName | WSDM ⓘ |
| sponsor |
ACM SIGIR
ⓘ
linked to:
SIGIR
ACM SIGKDD ⓘ
linked to:
SIGKDD
|
| submissionType |
full research papers
ⓘ
posters ⓘ short papers ⓘ |
| topic |
data mining techniques
ⓘ
information retrieval models ⓘ online advertising ⓘ ranking and relevance ⓘ recommender systems ⓘ social media analysis ⓘ user behavior modeling ⓘ web mining ⓘ web search algorithms ⓘ web-scale machine learning ⓘ |
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 International Conference on Web Search and Data Mining Description of subject: The ACM International Conference on Web Search and Data Mining (WSDM) is a leading annual computer science research conference focusing on web search, data mining, and related areas of information retrieval and machine learning.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ACM International Conference on Web Search and Data Mining
linked to: ACM International Conference on Web Search and Data Mining
linked to: ACM International Conference on Web Search and Data Mining
linked to: ACM International Conference on Web Search and Data Mining