{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:I4GXCPAI53HYQLO7AUSISNXXGA","short_pith_number":"pith:I4GXCPAI","schema_version":"1.0","canonical_sha256":"470d713c08eecf882ddf05248936f73016ef3a5bf82650718ec5fcdc23fbe046","source":{"kind":"arxiv","id":"2506.03301","version":1},"attestation_state":"computed","paper":{"title":"From Instructions to ODRL Usage Policies: An Ontology Guided Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abhishek Nadgeri, Benedikt T. Arnold, Christoph Lange, Christoph Quix, Daham M. Mustafa, Diego Collarana, Stefan Decker","submitted_at":"2025-06-03T18:38:41Z","abstract_excerpt":"This study presents an approach that uses large language models such as GPT-4 to generate usage policies in the W3C Open Digital Rights Language ODRL automatically from natural language instructions. Our approach uses the ODRL ontology and its documentation as a central part of the prompt. Our research hypothesis is that a curated version of existing ontology documentation will better guide policy generation. We present various heuristics for adapting the ODRL ontology and its documentation to guide an end-to-end KG construction process. We evaluate our approach in the context of dataspaces, i"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.03301","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-03T18:38:41Z","cross_cats_sorted":[],"title_canon_sha256":"6f00a3b12d5b07ea2e2712d4f073fa707059804e11a3dfd811fb5fffbdb0834b","abstract_canon_sha256":"b82f9c3daf93111c2f6414cc933df0410ff4d6fec7a59ce5b09016d1af42debb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:24.540047Z","signature_b64":"w8SlH576mk9s1rfyt3fOaaK3qWEFN6uIWKR8auxg7axRiIItkEM4c9Nh0Oz9b1yy7Ipd8XUe6GlsNoEh+n7CCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"470d713c08eecf882ddf05248936f73016ef3a5bf82650718ec5fcdc23fbe046","last_reissued_at":"2026-07-05T11:15:24.539557Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:24.539557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Instructions to ODRL Usage Policies: An Ontology Guided Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abhishek Nadgeri, Benedikt T. Arnold, Christoph Lange, Christoph Quix, Daham M. Mustafa, Diego Collarana, Stefan Decker","submitted_at":"2025-06-03T18:38:41Z","abstract_excerpt":"This study presents an approach that uses large language models such as GPT-4 to generate usage policies in the W3C Open Digital Rights Language ODRL automatically from natural language instructions. Our approach uses the ODRL ontology and its documentation as a central part of the prompt. Our research hypothesis is that a curated version of existing ontology documentation will better guide policy generation. We present various heuristics for adapting the ODRL ontology and its documentation to guide an end-to-end KG construction process. We evaluate our approach in the context of dataspaces, i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03301","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.03301/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.03301","created_at":"2026-07-05T11:15:24.539617+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.03301v1","created_at":"2026-07-05T11:15:24.539617+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03301","created_at":"2026-07-05T11:15:24.539617+00:00"},{"alias_kind":"pith_short_12","alias_value":"I4GXCPAI53HY","created_at":"2026-07-05T11:15:24.539617+00:00"},{"alias_kind":"pith_short_16","alias_value":"I4GXCPAI53HYQLO7","created_at":"2026-07-05T11:15:24.539617+00:00"},{"alias_kind":"pith_short_8","alias_value":"I4GXCPAI","created_at":"2026-07-05T11:15:24.539617+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA","json":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA.json","graph_json":"https://pith.science/api/pith-number/I4GXCPAI53HYQLO7AUSISNXXGA/graph.json","events_json":"https://pith.science/api/pith-number/I4GXCPAI53HYQLO7AUSISNXXGA/events.json","paper":"https://pith.science/paper/I4GXCPAI"},"agent_actions":{"view_html":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA","download_json":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA.json","view_paper":"https://pith.science/paper/I4GXCPAI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.03301&json=true","fetch_graph":"https://pith.science/api/pith-number/I4GXCPAI53HYQLO7AUSISNXXGA/graph.json","fetch_events":"https://pith.science/api/pith-number/I4GXCPAI53HYQLO7AUSISNXXGA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA/action/storage_attestation","attest_author":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA/action/author_attestation","sign_citation":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA/action/citation_signature","submit_replication":"https://pith.science/pith/I4GXCPAI53HYQLO7AUSISNXXGA/action/replication_record"}},"created_at":"2026-07-05T11:15:24.539617+00:00","updated_at":"2026-07-05T11:15:24.539617+00:00"}