{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:7DUGGSQUMCM5U2GZP6E3PWNK6F","short_pith_number":"pith:7DUGGSQU","schema_version":"1.0","canonical_sha256":"f8e8634a146099da68d97f89b7d9aaf1628c164160f5c8b062bcd677859ec9ec","source":{"kind":"arxiv","id":"1610.00493","version":1},"attestation_state":"computed","paper":{"title":"Pooling Hybrid Representations for Web Structured Data Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Bianca Zadrozny, Breno W. Carvalho, Luciano Barbosa","submitted_at":"2016-10-03T11:12:12Z","abstract_excerpt":"Automatically identifying data types of web structured data is a key step in the process of web data integration. Web structured data is usually associated with entities or objects in a particular domain. In this paper, we aim to map attributes of an entity in a given domain to pre-specified classes of attributes in the same domain based on their values. To perform this task, we propose a hybrid deep learning network that relies on the format of the attributes' values. It does so without any pre-processing or using pre-defined hand-crafted features. The hybrid network combines sequence-based n"},"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":"1610.00493","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2016-10-03T11:12:12Z","cross_cats_sorted":[],"title_canon_sha256":"41ddd02a8772f23418d51f9416a44aef98421ea2ca65a88944fce635a7fc600c","abstract_canon_sha256":"054b4f7898cf327e500df037b4c2b0c346893678c7c6564c0de959b0c0e7b299"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:03:25.402157Z","signature_b64":"DctrBORYyapx1iBFhCvkSkv4r1P/IsA4QemxIOI4JKBgxH2LIQkefd6/5622w9v6GU1h3zciiWXADlMxMQQWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8e8634a146099da68d97f89b7d9aaf1628c164160f5c8b062bcd677859ec9ec","last_reissued_at":"2026-05-18T01:03:25.401559Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:03:25.401559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pooling Hybrid Representations for Web Structured Data Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Bianca Zadrozny, Breno W. Carvalho, Luciano Barbosa","submitted_at":"2016-10-03T11:12:12Z","abstract_excerpt":"Automatically identifying data types of web structured data is a key step in the process of web data integration. Web structured data is usually associated with entities or objects in a particular domain. In this paper, we aim to map attributes of an entity in a given domain to pre-specified classes of attributes in the same domain based on their values. To perform this task, we propose a hybrid deep learning network that relies on the format of the attributes' values. It does so without any pre-processing or using pre-defined hand-crafted features. The hybrid network combines sequence-based n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.00493","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":"1610.00493","created_at":"2026-05-18T01:03:25.401651+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.00493v1","created_at":"2026-05-18T01:03:25.401651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.00493","created_at":"2026-05-18T01:03:25.401651+00:00"},{"alias_kind":"pith_short_12","alias_value":"7DUGGSQUMCM5","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_16","alias_value":"7DUGGSQUMCM5U2GZ","created_at":"2026-05-18T12:30:04.600751+00:00"},{"alias_kind":"pith_short_8","alias_value":"7DUGGSQU","created_at":"2026-05-18T12:30:04.600751+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/7DUGGSQUMCM5U2GZP6E3PWNK6F","json":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F.json","graph_json":"https://pith.science/api/pith-number/7DUGGSQUMCM5U2GZP6E3PWNK6F/graph.json","events_json":"https://pith.science/api/pith-number/7DUGGSQUMCM5U2GZP6E3PWNK6F/events.json","paper":"https://pith.science/paper/7DUGGSQU"},"agent_actions":{"view_html":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F","download_json":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F.json","view_paper":"https://pith.science/paper/7DUGGSQU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.00493&json=true","fetch_graph":"https://pith.science/api/pith-number/7DUGGSQUMCM5U2GZP6E3PWNK6F/graph.json","fetch_events":"https://pith.science/api/pith-number/7DUGGSQUMCM5U2GZP6E3PWNK6F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F/action/storage_attestation","attest_author":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F/action/author_attestation","sign_citation":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F/action/citation_signature","submit_replication":"https://pith.science/pith/7DUGGSQUMCM5U2GZP6E3PWNK6F/action/replication_record"}},"created_at":"2026-05-18T01:03:25.401651+00:00","updated_at":"2026-05-18T01:03:25.401651+00:00"}