{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:XWPVQQX2CD2EFF7QVVXPNSOX6Z","short_pith_number":"pith:XWPVQQX2","schema_version":"1.0","canonical_sha256":"bd9f5842fa10f44297f0ad6ef6c9d7f66a1fde92f46045182ae905ae6f36a9c5","source":{"kind":"arxiv","id":"1912.08633","version":2},"attestation_state":"computed","paper":{"title":"iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Anastasia Krithara, Anastasios Nentidis, Georgios Paliouras, Konstantinos Bougiatiotis","submitted_at":"2019-12-18T14:33:05Z","abstract_excerpt":"In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources. Identifying and extracting specific information is a challenging task and computational analysis of knowledge bases can be valuable in this direction. However, for disease-specific analyses researchers often need to compile their own datasets, integrating knowledge from different resources, or reuse existing datasets, that can be out-of-date. In this study, we propose a framework to automatically retrieve and"},"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":"1912.08633","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-12-18T14:33:05Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"5b227a6d7adbfea24386b3db987c06973cbb117020277fbc9b832105102d48f4","abstract_canon_sha256":"5831bb69f4dc33593a35a08a7ccd0c03067fea23c8bf2582525202a801690e1c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:07:12.376755Z","signature_b64":"gGGvmbn3GRUMKOyxclgym2dbvsbSispYKOfdm4D/JMva71OmaaUMyOfZPSoByByj/qC52mWekQuMbFezuqYiBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd9f5842fa10f44297f0ad6ef6c9d7f66a1fde92f46045182ae905ae6f36a9c5","last_reissued_at":"2026-07-05T01:07:12.376255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:07:12.376255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Anastasia Krithara, Anastasios Nentidis, Georgios Paliouras, Konstantinos Bougiatiotis","submitted_at":"2019-12-18T14:33:05Z","abstract_excerpt":"In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources. Identifying and extracting specific information is a challenging task and computational analysis of knowledge bases can be valuable in this direction. However, for disease-specific analyses researchers often need to compile their own datasets, integrating knowledge from different resources, or reuse existing datasets, that can be out-of-date. In this study, we propose a framework to automatically retrieve and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.08633","kind":"arxiv","version":2},"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/1912.08633/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":"1912.08633","created_at":"2026-07-05T01:07:12.376325+00:00"},{"alias_kind":"arxiv_version","alias_value":"1912.08633v2","created_at":"2026-07-05T01:07:12.376325+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.08633","created_at":"2026-07-05T01:07:12.376325+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWPVQQX2CD2E","created_at":"2026-07-05T01:07:12.376325+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWPVQQX2CD2EFF7Q","created_at":"2026-07-05T01:07:12.376325+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWPVQQX2","created_at":"2026-07-05T01:07:12.376325+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/XWPVQQX2CD2EFF7QVVXPNSOX6Z","json":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z.json","graph_json":"https://pith.science/api/pith-number/XWPVQQX2CD2EFF7QVVXPNSOX6Z/graph.json","events_json":"https://pith.science/api/pith-number/XWPVQQX2CD2EFF7QVVXPNSOX6Z/events.json","paper":"https://pith.science/paper/XWPVQQX2"},"agent_actions":{"view_html":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z","download_json":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z.json","view_paper":"https://pith.science/paper/XWPVQQX2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1912.08633&json=true","fetch_graph":"https://pith.science/api/pith-number/XWPVQQX2CD2EFF7QVVXPNSOX6Z/graph.json","fetch_events":"https://pith.science/api/pith-number/XWPVQQX2CD2EFF7QVVXPNSOX6Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z/action/storage_attestation","attest_author":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z/action/author_attestation","sign_citation":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z/action/citation_signature","submit_replication":"https://pith.science/pith/XWPVQQX2CD2EFF7QVVXPNSOX6Z/action/replication_record"}},"created_at":"2026-07-05T01:07:12.376325+00:00","updated_at":"2026-07-05T01:07:12.376325+00:00"}