6533b862fe1ef96bd12c7541

RESEARCH PRODUCT

ViziQuer: A Visual Notation for RDF Data Analysis Queries

Kārlis ČErānsArtūrs SproģisJuris BārzdiņšLelde LāceAgris SostaksUldis BojārsMikus GrasmanisJūlija Ovčiņņikova

subject

Computer scienceEnd userProgramming languageInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL010401 analytical chemistry05 social sciencesQuery formulationInformationSystems_DATABASEMANAGEMENTcomputer.file_formatNotationcomputer.software_genre01 natural sciences0104 chemical sciencesSPARQLGraph (abstract data type)0501 psychology and cognitive sciencesVisual notationRDFcomputer050107 human factors

description

Visual SPARQL query notations aim at easing the RDF data querying task. At the current state of the art there is still no generally accepted visual graph-based notation suitable to describe RDF data analysis queries that involve aggregation and subqueries. In this paper we present a visual diagram-centered notation for SPARQL select query formulation, capable to handle aggregate/statistics queries and hierarchic queries with subquery structure. The notation is supported by a web-based prototype tool. We present the notation examples, describe its syntax and semantics and describe studies with possible end users, involving both IT and medicine students.

yearjournalcountryeditionlanguage
2019-01-01
https://doi.org/10.1007/978-3-030-14401-2_5