ACM SIGSPATIAL

E13744

ACM SIGSPATIAL is a Special Interest Group of the Association for Computing Machinery focused on research and development in spatial and geographic information systems.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
ACM SIGSPATIAL canonical 3
SIGSPATIAL 1

Statements (32)

Predicate Object
instanceOf ACM Special Interest Group
professional association
aimsTo advance the state of the art in spatial and geographic information systems
promote communication among researchers and practitioners in spatial and geographic information systems
country United States of America
surface form: United States
field geographic information systems
geospatial data science
location-based services
spatial databases
spatial information systems
spatio-temporal data management
focusesOn development of spatial and geographic information systems
research in spatial and geographic information systems
hasAbbreviation ACM SIGSPATIAL self-linksurface differs
surface form: SIGSPATIAL
hasTopic geographic information retrieval
mobile and ubiquitous computing with spatial data
sensor networks with spatial data
spatial crowdsourcing
spatial data mining
spatial indexing
spatial query processing
visualization of spatial data
language English
organizes ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
parentOrganization Association for Computing Machinery
partOf ACM Special Interest Group community
publisherOf ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
surface form: proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
shortName ACM SIGSPATIAL self-link
sponsor student research competitions in spatial and geographic information systems
tutorials on spatial and geographic information systems
workshops on spatial and geographic information systems
website https://www.sigspatial.org/

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 SIGSPATIAL
Description of subject: ACM SIGSPATIAL is a Special Interest Group of the Association for Computing Machinery focused on research and development in spatial and geographic information systems.

Referenced by (4)

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

SIG associatedWith ACM SIGSPATIAL
ACM SIGSPATIAL shortName ACM SIGSPATIAL self-link
ACM SIGSPATIAL hasAbbreviation ACM SIGSPATIAL self-linksurface differs
this entity surface form: SIGSPATIAL