{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:C45H66U5S5BQYPKJCMARIONBC7","short_pith_number":"pith:C45H66U5","schema_version":"1.0","canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","source":{"kind":"arxiv","id":"2208.10415","version":1},"attestation_state":"computed","paper":{"title":"NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves","submitted_at":"2022-08-22T15:53:39Z","abstract_excerpt":"This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a simplified NL described by a grammar that specifies sentences combining keywords to refer to operations on graphs with the vocabulary of the graph schema. The demonstration proposed in this paper shows NLDS-QL in action within a scenario to explore and analyse a graph base on patient diagnoses generated with the open-source Synthea."},"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":"2208.10415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2022-08-22T15:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"bfa51908c357c99e09781e107659940524d538c77c34f19384b798d6ee8d29c1","abstract_canon_sha256":"a160ad2755d3e2bef404604633af04b1318062813db6fa45eec917593716c0b4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:50:28.531802Z","signature_b64":"f9yoWh8v5KUL+gRUz4E3CY3QbXDHletmTcV9AfBLvdxANfJrTxaq51WUNLVtYypzYUTHfVRcVfOUel+fUz5lBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"173a7f7a9d97430c3d4913011439a117e7830edf75a627e8f11c73fd0a782fb9","last_reissued_at":"2026-07-05T04:50:28.531395Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:50:28.531395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves","submitted_at":"2022-08-22T15:53:39Z","abstract_excerpt":"This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a simplified NL described by a grammar that specifies sentences combining keywords to refer to operations on graphs with the vocabulary of the graph schema. The demonstration proposed in this paper shows NLDS-QL in action within a scenario to explore and analyse a graph base on patient diagnoses generated with the open-source Synthea."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.10415","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/2208.10415/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":"2208.10415","created_at":"2026-07-05T04:50:28.531453+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.10415v1","created_at":"2026-07-05T04:50:28.531453+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.10415","created_at":"2026-07-05T04:50:28.531453+00:00"},{"alias_kind":"pith_short_12","alias_value":"C45H66U5S5BQ","created_at":"2026-07-05T04:50:28.531453+00:00"},{"alias_kind":"pith_short_16","alias_value":"C45H66U5S5BQYPKJ","created_at":"2026-07-05T04:50:28.531453+00:00"},{"alias_kind":"pith_short_8","alias_value":"C45H66U5","created_at":"2026-07-05T04:50:28.531453+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/C45H66U5S5BQYPKJCMARIONBC7","json":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7.json","graph_json":"https://pith.science/api/pith-number/C45H66U5S5BQYPKJCMARIONBC7/graph.json","events_json":"https://pith.science/api/pith-number/C45H66U5S5BQYPKJCMARIONBC7/events.json","paper":"https://pith.science/paper/C45H66U5"},"agent_actions":{"view_html":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7","download_json":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7.json","view_paper":"https://pith.science/paper/C45H66U5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.10415&json=true","fetch_graph":"https://pith.science/api/pith-number/C45H66U5S5BQYPKJCMARIONBC7/graph.json","fetch_events":"https://pith.science/api/pith-number/C45H66U5S5BQYPKJCMARIONBC7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/action/storage_attestation","attest_author":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/action/author_attestation","sign_citation":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/action/citation_signature","submit_replication":"https://pith.science/pith/C45H66U5S5BQYPKJCMARIONBC7/action/replication_record"}},"created_at":"2026-07-05T04:50:28.531453+00:00","updated_at":"2026-07-05T04:50:28.531453+00:00"}