CITATION — REFERENCE ENTRY
Semantic Reflection and Digital Twins: A Comprehensive Overview — Springer
- Key
- kamburjan2024reflection
- Authors
- Kamburjan, Eduard; Pferscher, Andrea; Schlatte, Rudolf; Sieve, Riccardo; Tapia Tarifa, Silvia Lizeth; Johnsen, Einar Broch
- Issued
- 2024
- Type
- paper-conference
- Publisher
- Springer
Raw CSL JSON
{
"URL": "https://ebjohnsen.org/publication/24-tiziana/24-tiziana.pdf",
"type": "paper-conference",
"title": "Semantic Reflection and Digital Twins: A Comprehensive Overview",
"author": [
{
"given": "Eduard",
"family": "Kamburjan"
},
{
"given": "Andrea",
"family": "Pferscher"
},
{
"given": "Rudolf",
"family": "Schlatte"
},
{
"given": "Riccardo",
"family": "Sieve"
},
{
"given": "Silvia Lizeth",
"family": "Tapia Tarifa"
},
{
"given": "Einar Broch",
"family": "Johnsen"
}
],
"issued": {
"date-parts": [
[
2024
]
]
},
"publisher": "Springer"
}
Claims
-
Semantic lifting is a broad class of techniques by which low-level, operational, or multi-view representations are algorithmically transformed into high-level, declarative, or semantically rich representations suitable for formal reasoning, efficient manipulation, or precise downstream analysis, arising across domains such as scientific computing, 3D vision, type theory, program analysis, network protocol reverse engineering, and knowledge base extensions.
"Semantic lifting is the process of (1) serializing a digital entity as a knowledge graph, (2) connecting this knowledge graph to domain knowledge necessary to operate or interpret the digital entity, and (3) accessing this combined knowledge graph from the original digital entity."
-
Semantic lifting in the context of digital twins is defined as the process of (1) serializing a digital entity as a knowledge graph, (2) connecting this knowledge graph to domain knowledge necessary to operate or interpret the digital entity, and (3) accessing this combined knowledge graph from the original digital entity.
"Semantic lifting is the process of (1) serializing a digital entity as a knowledge graph, (2) connecting this knowledge graph to domain knowledge necessary to operate or interpret the digital entity, and (3) accessing this combined knowledge graph from the original digital entity."
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