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Spatial cyberinfrastructures, ontologies, and the humanities.

Renee E Sieber¹, Christopher C Wellen, Yuan Jin

¹Department of Geography, McGill University, Montreal, QC, Canada. renee.sieber@mcgill.ca

Proceedings of the National Academy of Sciences of the United States of America

|March 30, 2011

Summary

This research integrates historical Chinese biographical and geographic data into a unified cyberinfrastructure. It enables cross-database queries for analyzing spatial and temporal relationships in Chinese history.

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Area of Science:

Digital Humanities
Historical Informatics
Information Science

Background:

Existing research cyberinfrastructures often lack integrated historical biographical and geographical data.
Historical Chinese data is often siloed in disparate databases, hindering comprehensive analysis.

Purpose of the Study:

To develop a cyberinfrastructure integrating the Ming Qing Women's Writings database (MQWW), China Biographical Database, and China Historical Geographical Information System.
To enable semantic interoperability and cross-database queries for historical Chinese data.
To focus on the spatial component within a humanities cyberinfrastructure, addressing data integration challenges.

Main Methods:

Integrating heterogeneous databases (MQWW, China Biographical Database, China Historical Geographical Information System) using computational ontologies.
Developing a system architecture with a tier of ontologies and schemas for semantic interoperability.
Designing a user interface and applications for ad hoc, cross-database querying and historical map generation.

Main Results:

A functional cyberinfrastructure enabling integrated access to diverse historical Chinese datasets.
Demonstrated ability to support multidatabase concepts and ad hoc queries, including spatial and temporal relationship analysis.
Successful integration addresses challenges of conflicting data, heterogeneous models, disambiguation, and geographic scale.

Conclusions:

The developed cyberinfrastructure enhances research capabilities in Chinese historical studies, particularly for analyzing spatial and temporal dimensions.
Computational ontologies are crucial for achieving semantic interoperability and facilitating complex queries across historical databases.
Successful cyberinfrastructure development requires both robust technical components and consideration of the social aspects of collaboration and data management.