Linked data and semantic web technologies to model context information for policy-making
Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies on the representation and meaning of knowledge related to the publishing community makes it difficult to compare and use them. The paper proposes t...
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| Veröffentlicht in: | Journal of ambient intelligence and humanized computing 2021-04, Vol.12 (4), p.4395-4406 |
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| container_title | Journal of ambient intelligence and humanized computing |
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| creator | Carbonaro, Antonella |
| description | Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies on the representation and meaning of knowledge related to the publishing community makes it difficult to compare and use them. The paper proposes the use of semantic technologies and linked open data in order to ensure standardized frameworks for the representation of concepts in policy-making. The low-level data can thus be transformed into an enriched information model that allows its reuse and a logical reasoning on the knowledge representation. |
| doi_str_mv | 10.1007/s12652-019-01341-y |
| format | Article |
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| ispartof | Journal of ambient intelligence and humanized computing, 2021-04, Vol.12 (4), p.4395-4406 |
| issn | 1868-5137 1868-5145 |
| language | eng |
| recordid | cdi_proquest_journals_2920167648 |
| source | SpringerLink Journals; ProQuest Central |
| subjects | Artificial Intelligence Computational Intelligence Data models Datasets Education Engineering Government Interoperability Knowledge representation Linked Data Open data Original Research Robotics and Automation Semantic web Semantics Students User Interfaces and Human Computer Interaction |
| title | Linked data and semantic web technologies to model context information for policy-making |
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