Abstract
Decentralized applications (in short, DApps) built on blockchains are disrupting the digital commerce foundations by pursuing new business models based on trustless, decentralized transactions, where intermediaries and central authorities are discarded. One of those emerging means are the digital tokens, certificates emitted and exchanged on the blockchain to provide digital representations of assets, which grant to the owners specific rights that are publicly verifiable by smart automatic contractual types of arrangement called smart contracts. Due to the increasing complexity of commercial mechanisms, a clear unambiguous description of commercial participants and of their in and out of blockchain activities, on top of which trustworthy and affordable ecosystems are constructed, is demanded. To face the challenges that digital commerce nowadays poses on realizing such ecosystems, the ONTOCHAIN consortium has funded a third-party research and development project named POC4COMMERCE. In this paper, we discuss the advancements of the project, giving insights into the approach and the best practices adopted by the developing team, to build a suite of ontologies modelling representative entities of the digital commerce ecosystem such as commercial participants and assets traded leveraging the Ethereum blockchain.
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References
Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., Mylopoulos, J.: Tropos: an agent-oriented software development methodology. Auton. Agent. Multi. Agent. Syst. 8(3), 203–236 (2004)
Cantone, D., Longo, C.F., Nicolosi-Asmundo, M., Santamaria, D.F., Santoro, C.: Towards an ontology-based framework for a behavior-oriented integration of the IoT. In: Proceedings of the 20th Workshop From Objects to Agents, Parma, Italy, 26–28 June 2019, CEUR Workshop Proceeding, vol. 2404, pp. 119–126 (2019)
Cantone, D., Longo, C.F., Nicolosi-Asmundo, M., Santamaria, D.F., Santoro, C.: Ontological smart contracts in oasis: ontology for agents, systems, and integration of services. In: Proceedings of IDC 2021, The 14th International Symposium on Intelligent Distributed Computing, Scilla, Reggio Calabria, Italy, 16–18 September (2021)
ONTOCHAIN Consortium: ONTOCHAIN Project (2020). https://ontochain.ngi.eu/
Hepp, M.: GoodRelations: an ontology for describing products and services offers on the web. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 329–346. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-87696-0_29
Pfeffer, J., Beregszazi, A., Li, S.: EthOn - an Ethereum ontology (2016). https://ethon.consensys.net/index.html
Tartir, S., Budak Arpinar, I., Moore, M., Sheth, A.P., Aleman-Meza, B.: OntoQA: metric-based ontology quality analysis. In: Proceedings of IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources (2005)
Ugarte-Rojas, H., Chullo-Llave, B.: BLONDiE: blockchain ontology with dynamic extensibility. CoRR, abs/2008.09518 (2020)
World Wide Web Consortium. SPARQL 1.1 Query Language (2013)
Acknowledgements
The work of POC4Commerce has been supported by the ONTOCHAIN NGI European project grant agreement no. 957338. We are thankful to the ONTOCHAIN Consortium who mentored and assisted the research.
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Bella, G., Cantone, D., Longo, C., Nicolosi Asmundo, M., Santamaria, D.F. (2021). Semantic Representation as a Key Enabler for Blockchain-Based Commerce. In: Tserpes, K., et al. Economics of Grids, Clouds, Systems, and Services. GECON 2021. Lecture Notes in Computer Science(), vol 13072. Springer, Cham. https://doi.org/10.1007/978-3-030-92916-9_17
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DOI: https://doi.org/10.1007/978-3-030-92916-9_17
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