Graduate School of Data Science

E603054
data science school graduate school

The Graduate School of Data Science is a specialized KAIST program focused on advanced education and research in data science, including areas such as machine learning, big data analytics, and artificial intelligence.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Graduate School of Data Science canonical 1

Statements (41)

Predicate Object
instanceOf data science school ⓘ
graduate school ⓘ
academicDiscipline computer science ⓘ
information science ⓘ
statistics ⓘ
affiliation KAIST College of Engineering NERFINISHED ⓘ
country South Korea ⓘ
educationLevel postgraduate ⓘ
emphasizes industry collaboration ⓘ
interdisciplinary research ⓘ
practical data-driven problem solving ⓘ
focusesOn artificial intelligence ⓘ
big data analytics ⓘ
data science ⓘ
machine learning ⓘ
hasResearchArea applied AI ⓘ
big data systems ⓘ
data engineering ⓘ
data mining ⓘ
data visualization ⓘ
data-driven decision making ⓘ
deep learning ⓘ
predictive analytics ⓘ
languageOfInstruction English ⓘ
Korean ⓘ
locatedIn Daejeon NERFINISHED ⓘ
KAIST main campus ⓘ
mission advanced education in data science ⓘ
research in data science ⓘ
offers doctoral programs ⓘ
graduate programs ⓘ
master’s programs ⓘ
partOf KAIST NERFINISHED ⓘ
region East Asia ⓘ
researchOutput AI and ML publications ⓘ
academic papers in data science ⓘ
sector higher education ⓘ
trains AI specialists ⓘ
data scientists ⓘ
machine learning engineers ⓘ
typeOfInstitution public research university unit ⓘ

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: Graduate School of Data Science
Description of subject: The Graduate School of Data Science is a specialized KAIST program focused on advanced education and research in data science, including areas such as machine learning, big data analytics, and artificial intelligence.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

KAIST → hasGraduateSchool → Graduate School of Data Science ⓘ