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Updated: Jan 3, 2026

The ITS2 Database

The ITS2 Database

Published on: March 12, 2012

Places in Information Science.

Ross S Purves^1,2, Stephan Winter³, Werner Kuhn⁴

¹Department of Geography University of Zurich Zurich Switzerland.

Journal of the Association for Information Science and Technology

|November 19, 2019

Summary

This summary is machine-generated.

Human understanding of "place" is difficult to integrate into current geographic databases. This study shows how "place" concepts can fit existing spatial information models for better geographic intelligence.

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Area of Science:

Geographic Information Science
Spatial Databases
Human-Computer Interaction

Background:

Traditional spatial databases rely on coordinate-based objects and fields, not human concepts of place.
This mismatch hinders place-based information systems, impacting areas like Digital Humanities and location-based services.

Purpose of the Study:

To bridge the gap between human spatial concepts (place) and existing spatial information system representations.
To advance the development of geographically intelligent systems by clarifying the notion of place.

Main Methods:

Re-examining the relationship between the human concept of 'place' and core spatial information concepts.
Leveraging established information science principles for human-machine spatial question answering.

Main Results:

Demonstrates that the notion of 'place' aligns with existing spatial information concepts.
Effective integration requires adequate exploitation and combination of these concepts.

Conclusions:

The human concept of 'place' can be successfully integrated into spatial information systems.
This integration is key to developing more geographically intelligent systems capable of understanding human spatial queries.