{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:D2O5KV7Y4RJCFBIFZV5QCTNCPU","short_pith_number":"pith:D2O5KV7Y","schema_version":"1.0","canonical_sha256":"1e9dd557f8e452228505cd7b014da27d31989f9f2fcc53b9493cdc37314e5ae0","source":{"kind":"arxiv","id":"1312.6948","version":1},"attestation_state":"computed","paper":{"title":"Description Logics based Formalization of Wh-Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ankur Padia, Kushal Shah, Rupali KaPatel, Sourish Dasgupta","submitted_at":"2013-12-25T09:23:49Z","abstract_excerpt":"The problem of Natural Language Query Formalization (NLQF) is to translate a given user query in natural language (NL) into a formal language so that the semantic interpretation has equivalence with the NL interpretation. Formalization of NL queries enables logic based reasoning during information retrieval, database query, question-answering, etc. Formalization also helps in Web query normalization and indexing, query intent analysis, etc. In this paper we are proposing a Description Logics based formal methodology for wh-query intent (also called desire) identification and corresponding form"},"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":"1312.6948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-12-25T09:23:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7bf52d6ca3fdb94399f971087d5e113634f408f64fd8c333bba741bd58ce6a3f","abstract_canon_sha256":"789f7b84cd6263856ab77f2e86fdfe5e1f815b2e3d9bcd659f497bbeb685bd37"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:03:46.365266Z","signature_b64":"SgRbIcX5dhz6qlxeakTSH+oMBExOCvEhAvSvGLEW+MeqZ+dEoAGZHMJOhcD0Uk49NxYyFHWSizfacZF/QwL7DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e9dd557f8e452228505cd7b014da27d31989f9f2fcc53b9493cdc37314e5ae0","last_reissued_at":"2026-05-18T03:03:46.364452Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:03:46.364452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Description Logics based Formalization of Wh-Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ankur Padia, Kushal Shah, Rupali KaPatel, Sourish Dasgupta","submitted_at":"2013-12-25T09:23:49Z","abstract_excerpt":"The problem of Natural Language Query Formalization (NLQF) is to translate a given user query in natural language (NL) into a formal language so that the semantic interpretation has equivalence with the NL interpretation. Formalization of NL queries enables logic based reasoning during information retrieval, database query, question-answering, etc. Formalization also helps in Web query normalization and indexing, query intent analysis, etc. In this paper we are proposing a Description Logics based formal methodology for wh-query intent (also called desire) identification and corresponding form"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.6948","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":"1312.6948","created_at":"2026-05-18T03:03:46.364596+00:00"},{"alias_kind":"arxiv_version","alias_value":"1312.6948v1","created_at":"2026-05-18T03:03:46.364596+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.6948","created_at":"2026-05-18T03:03:46.364596+00:00"},{"alias_kind":"pith_short_12","alias_value":"D2O5KV7Y4RJC","created_at":"2026-05-18T12:27:40.988391+00:00"},{"alias_kind":"pith_short_16","alias_value":"D2O5KV7Y4RJCFBIF","created_at":"2026-05-18T12:27:40.988391+00:00"},{"alias_kind":"pith_short_8","alias_value":"D2O5KV7Y","created_at":"2026-05-18T12:27:40.988391+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/D2O5KV7Y4RJCFBIFZV5QCTNCPU","json":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU.json","graph_json":"https://pith.science/api/pith-number/D2O5KV7Y4RJCFBIFZV5QCTNCPU/graph.json","events_json":"https://pith.science/api/pith-number/D2O5KV7Y4RJCFBIFZV5QCTNCPU/events.json","paper":"https://pith.science/paper/D2O5KV7Y"},"agent_actions":{"view_html":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU","download_json":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU.json","view_paper":"https://pith.science/paper/D2O5KV7Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1312.6948&json=true","fetch_graph":"https://pith.science/api/pith-number/D2O5KV7Y4RJCFBIFZV5QCTNCPU/graph.json","fetch_events":"https://pith.science/api/pith-number/D2O5KV7Y4RJCFBIFZV5QCTNCPU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU/action/storage_attestation","attest_author":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU/action/author_attestation","sign_citation":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU/action/citation_signature","submit_replication":"https://pith.science/pith/D2O5KV7Y4RJCFBIFZV5QCTNCPU/action/replication_record"}},"created_at":"2026-05-18T03:03:46.364596+00:00","updated_at":"2026-05-18T03:03:46.364596+00:00"}