{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:7A7CDC7U6635LOLVDDSXTCQ27K","short_pith_number":"pith:7A7CDC7U","canonical_record":{"source":{"id":"1711.09476","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-11-26T22:30:31Z","cross_cats_sorted":[],"title_canon_sha256":"84e031e216686fecf2a2ac9de6272c1847a1cf909e0f1f581f7a559a57925f0f","abstract_canon_sha256":"a423e3fb63cef4184127469e33395e06e7a2720103c6812bf6a37ddf017be19f"},"schema_version":"1.0"},"canonical_sha256":"f83e218bf4f7b7d5b97518e5798a1afabe8e735cc9c30e9c4fcc1032da322d9a","source":{"kind":"arxiv","id":"1711.09476","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09476","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09476v3","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09476","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"7A7CDC7U6635","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"7A7CDC7U6635LOLV","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"7A7CDC7U","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:7A7CDC7U6635LOLVDDSXTCQ27K","target":"record","payload":{"canonical_record":{"source":{"id":"1711.09476","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-11-26T22:30:31Z","cross_cats_sorted":[],"title_canon_sha256":"84e031e216686fecf2a2ac9de6272c1847a1cf909e0f1f581f7a559a57925f0f","abstract_canon_sha256":"a423e3fb63cef4184127469e33395e06e7a2720103c6812bf6a37ddf017be19f"},"schema_version":"1.0"},"canonical_sha256":"f83e218bf4f7b7d5b97518e5798a1afabe8e735cc9c30e9c4fcc1032da322d9a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:38.908623Z","signature_b64":"wd/TGjLjfKAS9akKbCT5OLIiv0Vrv8vPdGwmGIcb5ofm7R4WNFd0FJ0okht4knxLVmGg+k8eIc3hVxRI/XiSBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f83e218bf4f7b7d5b97518e5798a1afabe8e735cc9c30e9c4fcc1032da322d9a","last_reissued_at":"2026-05-18T00:10:38.907995Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:38.907995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.09476","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4spC3eExJTo0UUpOVELduESnk39a6GrjO7mxbWP3D6SKp1IPwaRE4TeXstmEZYJK+iM7a8Kbd4wNVoupDZ8CCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T14:43:50.236986Z"},"content_sha256":"b29001133990659fb4dae651245894a37169a06c8c29b7e37167c7a5ad207297","schema_version":"1.0","event_id":"sha256:b29001133990659fb4dae651245894a37169a06c8c29b7e37167c7a5ad207297"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:7A7CDC7U6635LOLVDDSXTCQ27K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Translation using Semantic Web Technologies: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Matthias Wauer","submitted_at":"2017-11-26T22:30:31Z","abstract_excerpt":"A large number of machine translation approaches have recently been developed to facilitate the fluid migration of content across languages. However, the literature suggests that many obstacles must still be dealt with to achieve better automatic translations. One of these obstacles is lexical and syntactic ambiguity. A promising way of overcoming this problem is using Semantic Web technologies. This article presents the results of a systematic review of machine translation approaches that rely on Semantic Web technologies for translating texts. Overall, our survey suggests that while Semantic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09476","kind":"arxiv","version":3},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sotT//Wkiq1jp3p/Yzy+P+TQZqULieRlNdqJWrnHWsNYUdynmDRu1cfRaTZiOokqqvGw4DDhXw/gXK3ugeXsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T14:43:50.237714Z"},"content_sha256":"ccd81c981fe4410100c6c1aebbf55b25a0dcd43116c586332c9fb51e6e8f746b","schema_version":"1.0","event_id":"sha256:ccd81c981fe4410100c6c1aebbf55b25a0dcd43116c586332c9fb51e6e8f746b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7A7CDC7U6635LOLVDDSXTCQ27K/bundle.json","state_url":"https://pith.science/pith/7A7CDC7U6635LOLVDDSXTCQ27K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7A7CDC7U6635LOLVDDSXTCQ27K/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-29T14:43:50Z","links":{"resolver":"https://pith.science/pith/7A7CDC7U6635LOLVDDSXTCQ27K","bundle":"https://pith.science/pith/7A7CDC7U6635LOLVDDSXTCQ27K/bundle.json","state":"https://pith.science/pith/7A7CDC7U6635LOLVDDSXTCQ27K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7A7CDC7U6635LOLVDDSXTCQ27K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7A7CDC7U6635LOLVDDSXTCQ27K","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a423e3fb63cef4184127469e33395e06e7a2720103c6812bf6a37ddf017be19f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-11-26T22:30:31Z","title_canon_sha256":"84e031e216686fecf2a2ac9de6272c1847a1cf909e0f1f581f7a559a57925f0f"},"schema_version":"1.0","source":{"id":"1711.09476","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09476","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09476v3","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09476","created_at":"2026-05-18T00:10:38Z"},{"alias_kind":"pith_short_12","alias_value":"7A7CDC7U6635","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"7A7CDC7U6635LOLV","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"7A7CDC7U","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:ccd81c981fe4410100c6c1aebbf55b25a0dcd43116c586332c9fb51e6e8f746b","target":"graph","created_at":"2026-05-18T00:10:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"A large number of machine translation approaches have recently been developed to facilitate the fluid migration of content across languages. However, the literature suggests that many obstacles must still be dealt with to achieve better automatic translations. One of these obstacles is lexical and syntactic ambiguity. A promising way of overcoming this problem is using Semantic Web technologies. This article presents the results of a systematic review of machine translation approaches that rely on Semantic Web technologies for translating texts. Overall, our survey suggests that while Semantic","authors_text":"Axel-Cyrille Ngonga Ngomo, Diego Moussallem, Matthias Wauer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-11-26T22:30:31Z","title":"Machine Translation using Semantic Web Technologies: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09476","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b29001133990659fb4dae651245894a37169a06c8c29b7e37167c7a5ad207297","target":"record","created_at":"2026-05-18T00:10:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a423e3fb63cef4184127469e33395e06e7a2720103c6812bf6a37ddf017be19f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-11-26T22:30:31Z","title_canon_sha256":"84e031e216686fecf2a2ac9de6272c1847a1cf909e0f1f581f7a559a57925f0f"},"schema_version":"1.0","source":{"id":"1711.09476","kind":"arxiv","version":3}},"canonical_sha256":"f83e218bf4f7b7d5b97518e5798a1afabe8e735cc9c30e9c4fcc1032da322d9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f83e218bf4f7b7d5b97518e5798a1afabe8e735cc9c30e9c4fcc1032da322d9a","first_computed_at":"2026-05-18T00:10:38.907995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:38.907995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wd/TGjLjfKAS9akKbCT5OLIiv0Vrv8vPdGwmGIcb5ofm7R4WNFd0FJ0okht4knxLVmGg+k8eIc3hVxRI/XiSBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:38.908623Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09476","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b29001133990659fb4dae651245894a37169a06c8c29b7e37167c7a5ad207297","sha256:ccd81c981fe4410100c6c1aebbf55b25a0dcd43116c586332c9fb51e6e8f746b"],"state_sha256":"94e440e6146ee26b0f8370fd79a9f3602a990c43e02d9defe1b7b17907a41630"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xuCvsb4A6WA4vb/6XiNNC/d7EkizpG7uc4XnTBLr8jW1BN0TNpL23b60QroIIGuNzLPt3UfBrQXEQ0qWmhejBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T14:43:50.242198Z","bundle_sha256":"b4bd6711779477a4b884c7c4a1e0a4996cb0673a03ec91b6d828ba0cac370b08"}}