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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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technologies (e.g., OWL, RDF, SPARQL), knowledge graphs, and data transformation pipelines. Experience with — or strong interest in — applied AI research, particularly in combining ontologies and knowledge
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across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and extend existing frameworks and systems
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keyword-based search and SPARQL querying. EPRESSO will build on and extend existing frameworks and systems such as SOLID, NSS, Dataswyft/HAT, gtk-gnutella, Gaian DB. You will be working with Professors