{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:G2PSN55CKY5FMUHTOXSMYE3VDX","short_pith_number":"pith:G2PSN55C","schema_version":"1.0","canonical_sha256":"369f26f7a2563a5650f375e4cc13751ddb96ab4b8b3b918d4a4173f4395e5968","source":{"kind":"arxiv","id":"1701.08033","version":1},"attestation_state":"computed","paper":{"title":"X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Fadila Bentayeb (ERIC), Hadj Mahboubi (ERIC), Jean-Christian Ralaivao (ERIC), J\\'er\\^ome Darmont (ERIC), Omar Boussa\\\"id (ERIC), Sabine Loudcher (ERIC)","submitted_at":"2017-01-27T12:39:39Z","abstract_excerpt":"Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically represent complex data. However, its usage induces new theoretical and practical challenges at the modeling, storage and analysis levels, and a new trend toward XML warehousing has been emerging for a couple of years. Unfortunately, no standard XML data warehouse architecture emerges. In this paper, we propose a unified XML warehouse reference model that synthesizes and enhances related work, and fits into a global XML war"},"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":"1701.08033","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-01-27T12:39:39Z","cross_cats_sorted":[],"title_canon_sha256":"af7357d07b2d0dfc06af97c5e11fdab050c7c997bd733892bae67c1c66a6e2e6","abstract_canon_sha256":"c3100c773e2ee49aa27a26fd4c25cd6762879bd8fce5c336307e566f29f7f15d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:59.054811Z","signature_b64":"1nqYmHa9MXMuoNPW1ohlHgMx+FbwnM1f2d8PnNgGtvwG0yMSGTTwxr2s5Y3g/0U8jH5S1AAMjD/umSVNc4k7Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"369f26f7a2563a5650f375e4cc13751ddb96ab4b8b3b918d4a4173f4395e5968","last_reissued_at":"2026-05-18T00:51:59.054200Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:59.054200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Fadila Bentayeb (ERIC), Hadj Mahboubi (ERIC), Jean-Christian Ralaivao (ERIC), J\\'er\\^ome Darmont (ERIC), Omar Boussa\\\"id (ERIC), Sabine Loudcher (ERIC)","submitted_at":"2017-01-27T12:39:39Z","abstract_excerpt":"Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically represent complex data. However, its usage induces new theoretical and practical challenges at the modeling, storage and analysis levels, and a new trend toward XML warehousing has been emerging for a couple of years. Unfortunately, no standard XML data warehouse architecture emerges. In this paper, we propose a unified XML warehouse reference model that synthesizes and enhances related work, and fits into a global XML war"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08033","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":""},"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":"1701.08033","created_at":"2026-05-18T00:51:59.054283+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.08033v1","created_at":"2026-05-18T00:51:59.054283+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08033","created_at":"2026-05-18T00:51:59.054283+00:00"},{"alias_kind":"pith_short_12","alias_value":"G2PSN55CKY5F","created_at":"2026-05-18T12:31:15.632608+00:00"},{"alias_kind":"pith_short_16","alias_value":"G2PSN55CKY5FMUHT","created_at":"2026-05-18T12:31:15.632608+00:00"},{"alias_kind":"pith_short_8","alias_value":"G2PSN55C","created_at":"2026-05-18T12:31:15.632608+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/G2PSN55CKY5FMUHTOXSMYE3VDX","json":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX.json","graph_json":"https://pith.science/api/pith-number/G2PSN55CKY5FMUHTOXSMYE3VDX/graph.json","events_json":"https://pith.science/api/pith-number/G2PSN55CKY5FMUHTOXSMYE3VDX/events.json","paper":"https://pith.science/paper/G2PSN55C"},"agent_actions":{"view_html":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX","download_json":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX.json","view_paper":"https://pith.science/paper/G2PSN55C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.08033&json=true","fetch_graph":"https://pith.science/api/pith-number/G2PSN55CKY5FMUHTOXSMYE3VDX/graph.json","fetch_events":"https://pith.science/api/pith-number/G2PSN55CKY5FMUHTOXSMYE3VDX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX/action/storage_attestation","attest_author":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX/action/author_attestation","sign_citation":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX/action/citation_signature","submit_replication":"https://pith.science/pith/G2PSN55CKY5FMUHTOXSMYE3VDX/action/replication_record"}},"created_at":"2026-05-18T00:51:59.054283+00:00","updated_at":"2026-05-18T00:51:59.054283+00:00"}