Supply Chain Object Discovery with Semantic-enhanced Blockchain
| Autor: | Saverio Ieva, Eugenio Di Sciascio, Floriano Scioscia, Giovanna Capurso, Michele Ruta |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Information management
Blockchain Information retrieval Computer science Supply chain 05 social sciences Supply chains Blockchain Semantic matchmaking Object discovery 020206 networking & telecommunications 02 engineering and technology Ontology (information science) Semantic matchmaking Object (computer science) Identification (information) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Semantic technology 050203 business & management Supply chains Object discovery |
| Zdroj: | SenSys |
| Popis: | Supply chains can be seen as cyber-physical networks grounded on object identification and tracking. Conventional trust models featuring centralized information management architectures and simplistic things classification lend two of the most relevant limitations to current solutions. Blockchain introduces novel and a valuable trust approaches while semantic technologies better permit a things description. This paper introduces a semantic-enhanced blockchain platform allowing a flexible object discovery. It is based on validation by consensus of smart contracts and adopt a semantic matchmaking between queries and object annotations expressed w.r.t. ontology models. Early experiments assess the good behaviour of the proposed framework. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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