Axis-Aligned Semantics for ODRL: Resolving Dimensional Ambiguity in Policy Constraints
Abstract
The Open Digital Rights Language (ODRL) represents policy constraints as triples of a left operand, an operator, and a value. Several spatial operands, however, range over multi-axis domains such as width, height, and depth, while the constraint syntax provides no explicit axis identity. As a result, policy engines cannot determine whether multiple constraints apply to the same axis or different ones, making conflict detection unsound or incomplete. We resolve this ambiguity by axis decomposition, replacing multi-axis operands with axis-specific scalar operands over totally ordered domains. Each constraint then denotes an interval per axis and each policy an axis-aligned box, reducing conflict detection to box comparison. We define a three-valued semantics (Conflict, Compatible, Unknown), prove the decomposition sound and backward compatible with ODRL, instantiate it as ODRL Axis-Aligned Profile (OAAP), and validate it on a benchmark of 256 ODRL policy problems, each expressed in Turtle and compiled to first-order (TPTP) and SMT-LIB form, using Vampire, E, Z3, and cvc5.
Authors 8
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Daham Mohammed Mustafa Aachen
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT
RWTH Aachen University
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Fraunhofer Institute for Applied Information Technology
Affiliation as printed
Fraunhofer FIT
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Christoph Quix Aachen
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT
RWTH Aachen University
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Ollscoil na Gaillimhe – University of Galway
Affiliation as printed
University of Galway
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Yixin Peng Aachen
Affiliation as printed
RWTH Aachen University
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Stefan Decker Aachen
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT
RWTH Aachen University
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