Kesosd

Lopez-Veyna, Jaime I.; Sosa-Sosa, Víctor J.; López-Arévalo, Iván

doi:10.1145/2254736.2254743

Cited by 7 publications

(1 citation statement)

References 29 publications

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“…These systems are simple to use, but are inherently limited in expressiveness. There are approaches, such as KESOSD [62] and SWSE [42], that aim at increasing the accuracy and completeness of keyword search. 3.…”

Section: Introductionmentioning

confidence: 99%

OptiqueVQS: A visual query system over ontologies for industry

Soylu

Kharlamov

Zheleznyakov

et al. 2018

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An important application of semantic technologies in industry has been the formalisation of information models using OWL 2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data can be virtualised as RDF using ontologies following the ontology-based data access (OBDA) approach. In all these applications, it is important to provide domain experts with query formulation tools for expressing their information needs in terms of queries over ontologies. In this work, we present such a tool, OptiqueVQS, which is designed based on our experience with OBDA applications in Statoil and Siemens and on best HCI practices for interdisciplinary engineering environments. OptiqueVQS implements a number of unique techniques distinguishing it from analogous query formulation systems. In particular, it exploits ontology projection techniques to enable graph-based navigation over an ontology during query construction. Secondly, while OptiqueVQS is primarily ontology driven, it exploits sampled data to enhance selection of data values for some data attributes. Finally, OptiqueVQS is built on well-grounded requirements, design rationale, and quality attributes. We evaluated OptiqueVQS with both domain experts and casual users and qualitatively compared our system against prominent visual systems for ontology-driven query formulation and exploration of semantic data. OptiqueVQS is available online and can be downloaded together with an example OBDA scenario.

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Section: Introductionmentioning

confidence: 99%

OptiqueVQS: A visual query system over ontologies for industry

Soylu

Kharlamov

Zheleznyakov

et al. 2018

View full text Add to dashboard Cite

show abstract

A Taxonomy of Dataset Search

Almuntashiri

Ibáñez

Chapman

2023

Lecture Notes on Data Engineering and Communications Technologies

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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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Kesosd

Cited by 7 publications

References 29 publications

OptiqueVQS: A visual query system over ontologies for industry

OptiqueVQS: A visual query system over ontologies for industry

A Taxonomy of Dataset Search

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

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