A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

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

Section: Data Access Interfacesmentioning

confidence: 99%

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

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

“…Keyword search (e.g., [1]) and natural language interfaces (e.g., [5]) remain insufficient for querying databases, due to their low accuracy and completeness. Visual query languages (e.g., [11]) rely on visual formalisms and are comparable to formal textual languages, while visual query systems are built on a system of interactions and have potential to offer a good balance between expressiveness and usability.…”

Section: Related Workmentioning

confidence: 99%

Why not simply Google?

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

Giese

Jiménez-Ruiz

et al. 2014

“…There are various approaches using graphs for ontology visualisation and exploration such as GrOWL [11] and KC-Viz [15]. Similarly, tools for visual query formulation also often use graph paradigm to depict the information needs and domain exploration such as gFacet [7] and NITELIGHT [17]. In a graph based approach, classes are often represented as nodes and properties as edges.…”

Section: Related Workmentioning

confidence: 99%

Making Complex Ontologies End User Accessible via Ontology Projections

Kharlamov

2018

Semantic Technology

Ontologies are a powerful mechanism to structure domains of interest. They have successfully been applied in medical domain, industry and other important areas. Despite the simplicity of ontological vocabularies that consist of classes and properties, ontologies can relate elements of the vocabulary with the help of axioms in a very non-trivial way. Thus, the relationship between classes and properties can become hardly accessible by end users thus affecting the practical value of ontologies. Indeed, it is essential for end users to be able to navigate or browse through an ontology, to get a big picture of what classes there are and what they have in common in terms of other related classes and properties. This helps end users in effectively performing various knowledge engineering tasks such as querying and domain exploration. To this end, in this short paper, we describe an approach to project OWL 2 ontologies into graphs and show how to leverage this approach in practical systems for visual query formulation and faceted search that we tested in various scenarios.