{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:I3O4FI4ZDLAKB54C744RHEPHMZ","short_pith_number":"pith:I3O4FI4Z","schema_version":"1.0","canonical_sha256":"46ddc2a3991ac0a0f782ff391391e766757cbd34146b6ab96f9559ae1feaac67","source":{"kind":"arxiv","id":"2404.11716","version":2},"attestation_state":"computed","paper":{"title":"A Survey on Semantic Modeling for Building Energy Management","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Miracle Aniakor, Pedro M. Ferreira, Vinicius V. Cogo","submitted_at":"2024-04-17T20:10:43Z","abstract_excerpt":"Building Energy Management (BEM) is central to reducing energy use and CO2 emissions in the building sector. Although IoT technologies now provide extensive operational data, heterogeneous data models, device descriptions, and contextual representations continue to limit semantic interoperability, limiting the development of generalisable, autonomous, context-aware BEM applications. Ontologies address this challenge by providing structured, machine-interpretable representations of building data, systems, and operational context. This survey examines semantic modelling for BEM during the buildi"},"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":"2404.11716","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T20:10:43Z","cross_cats_sorted":[],"title_canon_sha256":"ea8591b0e9b5221dc1ac78d8b12cbbe5bc464fe76f1bc4d044d113a2710564cf","abstract_canon_sha256":"a74a2776f5f7e0bf0af7dc801f605aae8e7732cc62a008b4183f0f26f16ca55d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:08:26.232224Z","signature_b64":"TEzRZaWhHRJsEZflE/SLJRtxHkyFTi7RhaTp6CgDjqE8eXMAc8nRF04C6A3u6GbjO43htbS72I/7VE5/EdVKAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46ddc2a3991ac0a0f782ff391391e766757cbd34146b6ab96f9559ae1feaac67","last_reissued_at":"2026-06-10T01:08:26.231037Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:08:26.231037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Survey on Semantic Modeling for Building Energy Management","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Miracle Aniakor, Pedro M. Ferreira, Vinicius V. Cogo","submitted_at":"2024-04-17T20:10:43Z","abstract_excerpt":"Building Energy Management (BEM) is central to reducing energy use and CO2 emissions in the building sector. Although IoT technologies now provide extensive operational data, heterogeneous data models, device descriptions, and contextual representations continue to limit semantic interoperability, limiting the development of generalisable, autonomous, context-aware BEM applications. Ontologies address this challenge by providing structured, machine-interpretable representations of building data, systems, and operational context. This survey examines semantic modelling for BEM during the buildi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11716","kind":"arxiv","version":2},"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/2404.11716/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":"2404.11716","created_at":"2026-06-10T01:08:26.231231+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.11716v2","created_at":"2026-06-10T01:08:26.231231+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11716","created_at":"2026-06-10T01:08:26.231231+00:00"},{"alias_kind":"pith_short_12","alias_value":"I3O4FI4ZDLAK","created_at":"2026-06-10T01:08:26.231231+00:00"},{"alias_kind":"pith_short_16","alias_value":"I3O4FI4ZDLAKB54C","created_at":"2026-06-10T01:08:26.231231+00:00"},{"alias_kind":"pith_short_8","alias_value":"I3O4FI4Z","created_at":"2026-06-10T01:08:26.231231+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/I3O4FI4ZDLAKB54C744RHEPHMZ","json":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ.json","graph_json":"https://pith.science/api/pith-number/I3O4FI4ZDLAKB54C744RHEPHMZ/graph.json","events_json":"https://pith.science/api/pith-number/I3O4FI4ZDLAKB54C744RHEPHMZ/events.json","paper":"https://pith.science/paper/I3O4FI4Z"},"agent_actions":{"view_html":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ","download_json":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ.json","view_paper":"https://pith.science/paper/I3O4FI4Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.11716&json=true","fetch_graph":"https://pith.science/api/pith-number/I3O4FI4ZDLAKB54C744RHEPHMZ/graph.json","fetch_events":"https://pith.science/api/pith-number/I3O4FI4ZDLAKB54C744RHEPHMZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ/action/storage_attestation","attest_author":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ/action/author_attestation","sign_citation":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ/action/citation_signature","submit_replication":"https://pith.science/pith/I3O4FI4ZDLAKB54C744RHEPHMZ/action/replication_record"}},"created_at":"2026-06-10T01:08:26.231231+00:00","updated_at":"2026-06-10T01:08:26.231231+00:00"}