Datoptron's invaluable tools and expertise have significantly enhanced our data management operations. We find great pleasure in collaborating with their highly skilled, forward-thinking, and attentive team. We look forward to continuing our long-term partnership in new projects and activities.
Leveraging Datoptron's cutting-edge tools, we have significantly enhanced the quality of our data, which has allowed us to captivate and engage with more diverse audiences through innovative approaches. The team's profound expertise and tailored guidance have been instrumental in enabling us to maximize the benefits of the digital transition, ensuring that we stay at the forefront of innovation in the preservation of fashion heritage.
Datoptron's tools and expertise have allowed us to streamline our data management operations and save a lot of manual effort. The team has consistently delivered innovative solutions for the issues our sector is facing.
The team’s expertise has been indispensable in shaping our digital transformation policies. Datoptron’s tools have helped us to bring semantics to raw data.
Leveraging the experience of 20 years working in the fields of Semantic Technologies and Machine Learning, as well as the participation in more than 30 R&D European-funded projects, Datoptron has developed a number of tools.
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Metadata Interoperability Platform (MINT) was designed and developed to facilitate aggregation initiatives for cultural heritage content and metadata in Europe. More than 15 million cultural records have been aggregated to Europeana through MINT
SAGE (Semantic Annotation & Generation of Enrichments) is a web-based tool for generating, enriching, validating, searching and publishing data as a knowledge graph.
Is a mapping language, developed inhouse, and is used to transform any kind of data to RDF. D2RML has been used in many European R&D projects that work with Linked Data technologies.
CrowdHeritage is an open platform where cultural heritage institutions can share their collections’ metadata that need a fix or enrichment, and everybody can contribute to the effort of improving them.
We are a group of talented people including researchers, software developers, ontology engineers and machine learning experts with long experience in working with standards.
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