{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:3YO3A4QLUJKFRG6FINBR5C25OM","short_pith_number":"pith:3YO3A4QL","schema_version":"1.0","canonical_sha256":"de1db0720ba254589bc543431e8b5d730bfdb934a4cdeb9b623512b27971293c","source":{"kind":"arxiv","id":"1711.01283","version":1},"attestation_state":"computed","paper":{"title":"Mandolin: A Knowledge Discovery Framework for the Web of Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DB","authors_text":"Axel-Cyrille Ngonga Ngomo, Diego Esteves, Edgard Marx, Tommaso Soru","submitted_at":"2017-11-03T18:04:06Z","abstract_excerpt":"Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations. While several approaches have been devised to tackle the subproblems of rule mining, grounding, and inference, no comprehensive workflow has been proposed so far. In this paper, we fill this gap by introducing a framework called Mandolin, which implements a workflow for knowledge discovery specifically on RDF datasets. Our framework imports knowledge from referenced graphs, creates similarity relationships among similar literals, and relies on state-"},"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":"1711.01283","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-11-03T18:04:06Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"87556f05141c07d4dfed7dd18b29b3b84ce7f29a9100bd72752a0b0a211af9c3","abstract_canon_sha256":"e2ea20b51e6067e3e4506a7362e468f02a742a20a036af0c2ebd5f65d1ec832b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:18.277587Z","signature_b64":"Cm4AYvR1uJrM+0ddqtd4mN77HKWU0JHTR9sTXXpffnLL6ZhtJcs1v98FvZqRoSLNBStM8LcO9RLMQv/0RnywBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de1db0720ba254589bc543431e8b5d730bfdb934a4cdeb9b623512b27971293c","last_reissued_at":"2026-05-18T00:31:18.276930Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:18.276930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mandolin: A Knowledge Discovery Framework for the Web of Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DB","authors_text":"Axel-Cyrille Ngonga Ngomo, Diego Esteves, Edgard Marx, Tommaso Soru","submitted_at":"2017-11-03T18:04:06Z","abstract_excerpt":"Markov Logic Networks join probabilistic modeling with first-order logic and have been shown to integrate well with the Semantic Web foundations. While several approaches have been devised to tackle the subproblems of rule mining, grounding, and inference, no comprehensive workflow has been proposed so far. In this paper, we fill this gap by introducing a framework called Mandolin, which implements a workflow for knowledge discovery specifically on RDF datasets. Our framework imports knowledge from referenced graphs, creates similarity relationships among similar literals, and relies on state-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.01283","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":"1711.01283","created_at":"2026-05-18T00:31:18.277037+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.01283v1","created_at":"2026-05-18T00:31:18.277037+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.01283","created_at":"2026-05-18T00:31:18.277037+00:00"},{"alias_kind":"pith_short_12","alias_value":"3YO3A4QLUJKF","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_16","alias_value":"3YO3A4QLUJKFRG6F","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_8","alias_value":"3YO3A4QL","created_at":"2026-05-18T12:30:58.224056+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/3YO3A4QLUJKFRG6FINBR5C25OM","json":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM.json","graph_json":"https://pith.science/api/pith-number/3YO3A4QLUJKFRG6FINBR5C25OM/graph.json","events_json":"https://pith.science/api/pith-number/3YO3A4QLUJKFRG6FINBR5C25OM/events.json","paper":"https://pith.science/paper/3YO3A4QL"},"agent_actions":{"view_html":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM","download_json":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM.json","view_paper":"https://pith.science/paper/3YO3A4QL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.01283&json=true","fetch_graph":"https://pith.science/api/pith-number/3YO3A4QLUJKFRG6FINBR5C25OM/graph.json","fetch_events":"https://pith.science/api/pith-number/3YO3A4QLUJKFRG6FINBR5C25OM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM/action/storage_attestation","attest_author":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM/action/author_attestation","sign_citation":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM/action/citation_signature","submit_replication":"https://pith.science/pith/3YO3A4QLUJKFRG6FINBR5C25OM/action/replication_record"}},"created_at":"2026-05-18T00:31:18.277037+00:00","updated_at":"2026-05-18T00:31:18.277037+00:00"}