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|Acronym=BIS 2021 | |Acronym=BIS 2021 | ||
|City=DE/NI/Hanover | |City=DE/NI/Hanover | ||
| − | |Country=DE | + | |Country=Country:DE |
|Type=Conference | |Type=Conference | ||
|Homepage=https://bisconf.org/2021/ | |Homepage=https://bisconf.org/2021/ | ||
|Ordinal=24 | |Ordinal=24 | ||
| − | |||
|State=DE/NI | |State=DE/NI | ||
|Title=24th International Conference on Business Information Systems | |Title=24th International Conference on Business Information Systems | ||
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|End Date=2020/06/17 | |End Date=2020/06/17 | ||
|Academic Field=Information Systems | |Academic Field=Information Systems | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=presence | ||
}} | }} | ||
The theme of the conference is Enterprise Knowledge and Data Spaces. Both concepts are relevant for data organization and reuse. One of the contemporary ways to represent knowledge in the enterprises are enterprise knowledge graphs or just knowledge graphs. They are a flexible way to represent interlinked information about virtually anything. From the modelling point of view they are graphs consisting of concepts, properties, and entity descriptions. So, we distinguish here schema data, instance data, and metadata. What is important is that they are fully compliant to FAIR Data Principles. The principles characterize the desired features of digital assets: Findable, Accessible, Interoperable, Reusable. | The theme of the conference is Enterprise Knowledge and Data Spaces. Both concepts are relevant for data organization and reuse. One of the contemporary ways to represent knowledge in the enterprises are enterprise knowledge graphs or just knowledge graphs. They are a flexible way to represent interlinked information about virtually anything. From the modelling point of view they are graphs consisting of concepts, properties, and entity descriptions. So, we distinguish here schema data, instance data, and metadata. What is important is that they are fully compliant to FAIR Data Principles. The principles characterize the desired features of digital assets: Findable, Accessible, Interoperable, Reusable. | ||
Data spaces are more about information technology architecture. They are considered a virtual space for safeguarding data where data remains with the data owner and it is first shared with trusted business partners. The focus is on the information model for describing data assets and also providing the standardized interface for interoperability. More often than in the case of enterprise knowled we emphasize the economic valuation of data, including pricing of data transactions. It is noteworthy that data spaces are considered a core of the implementation of the European Strategy on Data. It it foreseen to regulate the flow of data within European Union and across sectors and is also based on the FAIR principles. As the ultimate goal of FAIR is to optimise the reuse of data we expect papers covering all aspects of data collection, standardization, integration, exchange, reuse, and valuation. | Data spaces are more about information technology architecture. They are considered a virtual space for safeguarding data where data remains with the data owner and it is first shared with trusted business partners. The focus is on the information model for describing data assets and also providing the standardized interface for interoperability. More often than in the case of enterprise knowled we emphasize the economic valuation of data, including pricing of data transactions. It is noteworthy that data spaces are considered a core of the implementation of the European Strategy on Data. It it foreseen to regulate the flow of data within European Union and across sectors and is also based on the FAIR principles. As the ultimate goal of FAIR is to optimise the reuse of data we expect papers covering all aspects of data collection, standardization, integration, exchange, reuse, and valuation. | ||
Revision as of 13:44, 6 September 2022
The theme of the conference is Enterprise Knowledge and Data Spaces. Both concepts are relevant for data organization and reuse. One of the contemporary ways to represent knowledge in the enterprises are enterprise knowledge graphs or just knowledge graphs. They are a flexible way to represent interlinked information about virtually anything. From the modelling point of view they are graphs consisting of concepts, properties, and entity descriptions. So, we distinguish here schema data, instance data, and metadata. What is important is that they are fully compliant to FAIR Data Principles. The principles characterize the desired features of digital assets: Findable, Accessible, Interoperable, Reusable.
Data spaces are more about information technology architecture. They are considered a virtual space for safeguarding data where data remains with the data owner and it is first shared with trusted business partners. The focus is on the information model for describing data assets and also providing the standardized interface for interoperability. More often than in the case of enterprise knowled we emphasize the economic valuation of data, including pricing of data transactions. It is noteworthy that data spaces are considered a core of the implementation of the European Strategy on Data. It it foreseen to regulate the flow of data within European Union and across sectors and is also based on the FAIR principles. As the ultimate goal of FAIR is to optimise the reuse of data we expect papers covering all aspects of data collection, standardization, integration, exchange, reuse, and valuation.
