Special Issue "Data and Metadata Management with Semantic Technologies"
Deadline for manuscript submissions: 15 September 2021.
Interests: (linked) open data and quality; linked data consumption; data and metadata analysis and standardization
Interests: ontologies and other semantic technologies in business and government enterprises and in national information infrastructures
Linked data and semantic web technologies emerging from the last 20 years have reached a good level of maturity. IETF and W3C standards at the fundamental level, such as HTTP, RDF, OWL, and SPARQL, provide a technological layer to publish, harmonize, and consume data. The underpinning linked data and semantic web principles and practices have impacted the sharing, discovery, and integration of (meta)data beyond the specific field of research, inspiring the management and consumption of information using explicit semantics even beyond the web. Novel research questions can still arise from implementation experiences and intersection with other academic disciplines.
The purpose of this Special Issue is to present emerging research issues and the latest developments in the management, harmonization, and consumption of (meta)data with semantic technologies.
Investigators in the field are invited to contribute with their original, unpublished works. Both research and review papers are welcome.
Topics of interest include but are not limited to:
- Approaches to publish, harmonize, and consume (meta)data;
- Management and exploitation of provenance and workflows;
- Management of the evolution and preservation of the data;
- Quality assessment, documentation, and improvement;
- Data matching, enrichment, and cleaning;
- Ontologies, metadata vocabularies, and standardization;
- Semantic technologies applied to data infrastructures and FAIR data management;
- In-use cases and lessons learned managing (meta)data in industrial and domain-specific applications (e.g., in relation to cultural heritage, e-government, education, environmental, health and medical data, among others).
Dr. Riccardo Albertoni
Dr. Peter Winstanley
Manuscript Submission Information
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- data management
- semantic technologies