6533b853fe1ef96bd12abf34

RESEARCH PRODUCT

Schema-Based Visual Queries over Linked Data Endpoints

Jūlija OvčiņņikovaArtūrs SproģisMikus GrasmanisAiga RomāneKārlis ČErānsAgris SostaksLelde Lāce

subject

Information retrievalComputer science05 social sciencesDatabase schemaInformationSystems_DATABASEMANAGEMENTWeb Ontology LanguageLinked datacomputer.file_formatSchema (psychology)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGSPARQL0501 psychology and cognitive sciencesVisual queryRDFcomputer050107 human factors050104 developmental & child psychologycomputer.programming_language

description

We present the option to use the schema-based visual query tool ViziQuer over realistic Linked Data endpoints. We describe the tool meta-schema structure and the means for the endpoint schema retrieval both from an OWL ontology and from a SPARQL endpoint. We report on a store of the endpoint-specific schemas and the options to support the schema presentation to the end-user both as a class tree within the environment and as external visual diagram.

yearjournalcountryeditionlanguage
2019-01-01
https://doi.org/10.1007/978-3-030-36599-8_18