ViziQuer: A Tool to Explore and Query SPARQL Endpoints

Zviedris, Martins; Bārzdiņš, Guntis

doi:10.1007/978-3-642-21064-8_31

Cited by 32 publications

(20 citation statements)

References 3 publications

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“…Examples of QbN are Tabulator [5], a linked data browser; SWC [79], a data navigation tool for the Semantic Web; SEWASIE project [18], an ontology-based query formulation tool; Visor [66], a data exploration tool for the Semantic Web; and ViziQuer [94], a tool for exploring and querying SPARQL end-points. QbN is either a predominant or sole paradigm in these tools.…”

Section: Faceted Search and Qbnmentioning

confidence: 99%

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Soylu

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

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Data access in an enterprise setting is a determining factor for value creation processes, such as sense making, decision making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access tools that directly engage domain experts with data could substantially increase competitiveness and profitability. In this respect, the use of ontologies as a natural communication medium between end users and computers has emerged as a prominent approach. To this end, this article introduces a novel ontology-based visual query system, named OptiqueVQS, for end users. OptiqueVQS is built on a powerful and scalable data access platform and has a user-centric design supported by a widget-based flexible and extensible architecture allowing multiple coordinated representation and interaction paradigms to be employed. The results of a usability experiment performed with non-expert users suggest that OptiqueVQS provides a decent level of expressivity and high usability, and hence is quite promising.Keywords Visual query formulation · visual query systems · ontology-based data access · data retrieval 1 Introduction

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Section: Faceted Search and Qbnmentioning

confidence: 99%

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Soylu

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

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“…Although the RDB2OWL tool has a well-defined task of creating a conceptuallevel SPARQL endpoint for a relational database, permitting its standalone use, a particular usage context of the RDB2OWL database-to-ontology mapping tool is within a larger semantic database platform involving also the OWLGrEd ontology editor [19], the visual custom SPARQL query generation tool ViziQuer [14,22] and the SPARQL endpoint browser OBIS [23].…”

Section: Discussionmentioning

confidence: 99%

“…It has been possible to explore the generated SPARQL endpoint both in the ad hoc mode by the ViziQuer tool [14,22] and in browsing mode by the OBIS tool [23] within the relational database semantic re-engineering framework described in [17]. The usage of D2RQ tool both in on-the-fly SPARQL endpoint creation and in the RDF dump mode with the RDF data loaded further on into the Virtuoso server have been considered with the better runtime performance achieved with the data stored in Virtuoso server.…”

Section: Latvian Medicine Registriesmentioning

confidence: 99%

Database to Ontology Mapping Patterns in RDB2OWL Lite

Būmans

2016

Communications in Computer and Information Science

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Abstract. We describe the RDB2OWL Lite language for relational database to RDF/OWL mapping specification and discuss the architectural and content specification patterns arising in mapping definition. RDB2OWL Lite is a simplification of original RDB2OWL with aggregation possibilities and order-based filters removed, while providing in-mapping SQL view definition possibilities. The mapping constructs and their usage patterns are illustrated on mapping examples from medical domain: medicine registries and hospital information system. The RDB2OWL Lite mapping implementation is offered both via translation into D2RQ and into standard R2RML mapping notations.

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“…Examples of QbN are Tabulator [25], SEWASIE project [7], ViziQuer [26], and Visor [27], and well-known examples of faceted search are Flamenco [28], mSpace [29], and Exhibit [30]. The examples of first category provide weak or no support for select and projection operations; similarly the examples on the latter do not provide sufficient support for joining concepts.…”

Section: Related Workmentioning

confidence: 99%

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

Soylu

Skjæveland

Giese

et al. 2013

Communications in Computer and Information Science

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Abstract. Data access in an enterprise setting is a determining factor for the potential of value creation processes such as sense-making, decision making, and intelligence analysis. As such, providing friendly data access tools that directly engage domain experts (i.e., end-users) with data, as opposed to the situations where database/IT experts are required to extract data from databases, could substantially increase competitiveness and profitability. However, the ever increasing volume, complexity, velocity, and variety of data, known as the Big Data phenomenon, renders the end-user data access problem even more challenging. Optique, an ongoing European project with a strong industrial perspective, aims to countervail the Big Data effect, and to enable scalable end-user data access to traditional relational databases by using an ontology-based approach. In this paper, we specifically present the preliminary design and development of our ontology-based visual query system and discuss directions for addressing the Big Data effect.

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ViziQuer: A Tool to Explore and Query SPARQL Endpoints

Cited by 32 publications

References 3 publications

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Database to Ontology Mapping Patterns in RDB2OWL Lite

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

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