Policy Aware Geospatial Data
Puneet Kishor, Oshani Seneviratne, and Noah Giansiracusa

TL;DR
This paper proposes a methodology for embedding and managing licenses within geospatial data using a formal algebraic model and Creative Commons Rights Expression Language, enhancing transparency and automatic license handling.
Contribution
It introduces an algebraic framework for license transformation during data transfer and combination, and demonstrates embedding licenses in geospatial data with ccREL for improved transparency.
Findings
License transformations are modeled algebraically during data operations.
Embedded licenses can be programmatically examined within geospatial data.
The methodology improves license transparency and automatic management.
Abstract
Digital Rights Management (DRM) prevents end-users from using content in a manner inconsistent with its creator's wishes. The license describing these use-conditions typically accompanies the content as its metadata. A resulting problem is that the license and the content can get separated and lose track of each other. The best metadata have two distinct qualities--they are created automatically without user intervention, and they are embedded within the data that they describe. If licenses are also created and transported this way, data will always have licenses, and the licenses will be readily examinable. When two or more datasets are combined, a new dataset, and with it a new license, are created. This new license is a function of the licenses of the component datasets and any additional conditions that the person combining the datasets might want to impose. Following the notion of…
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Taxonomy
TopicsAdvanced Database Systems and Queries · Data Management and Algorithms · Semantic Web and Ontologies
