6533b860fe1ef96bd12c315b
RESEARCH PRODUCT
An Ontology Model for Interoperability and Multi-organization Data Exchange
Constantin-bala ZamfirescuAndrei TaraAlexandru ButeanRobert Learneysubject
business.industryComputer science05 social sciencesInteroperability050301 education02 engineering and technologyOntology (information science)Data structureData scienceMarket fragmentationMetadataData exchange0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArchitectureInternet of Thingsbusiness0503 educationdescription
Progress in the uptake and use of technologies such as Artificial Intelligence and the Internet of Things seems to be stalled by the colossal fragmentation of information and data standards. This complexity is compounded by issues of inter-organisational differences, hindering effective collaboration. There is a growing demand for cross-organizational integrations in regulated but decentralized environments. This paper introduces an ontology architecture where information is sliced into independent semantic layers, each focusing on a specific aspect of the data. By dissolving traditional monolithic data structures into layered, light semantic components, the necessity to maintain contextual metadata is diminished. The model proposes an ontology structure based on decentralized technologies to ensure an open environment and to avoid the flaws of centralized systems.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-01-01 | Artificial Intelligence and Bioinspired Computational Methods - Proceedings of the 9th Computer Science On-line Conference 2020, Vol. 2 |