Ontologies versus relational databases: are they so different? A comparison

Martínez-Cruz, Carmen; Blanco, Ignacio J.; Vila, M. A.

doi:10.1007/s10462-011-9251-9

Cited by 102 publications

(45 citation statements)

References 61 publications

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“…The mapping approach separates transactional and domain perspectives (cf. [61]), in other words, while exploiting ontologies for data access and reasoning, one can continue to use legacy relational data sources in their original form, without migrating or transforming any data, and enjoy the benefits of well established query optimisation and evaluation support available for traditional database management systems. In order to aid ontology and mapping development, a bootstrapping component (cf.…”

Section: Motivating Scenario: Optiquementioning

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: Motivating Scenario: Optiquementioning

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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“…The quality of the data contained in a knowledge resource can heavily depend on the strategy employed for the data representation [32]. Databases ensure certain levels of data quality by enforcing integrity constraints, but it is not possible to directly codify domain knowledge in them.…”

mentioning

confidence: 99%

Imposing a Semantic Schema for the Detection of Potential Mistakes in Knowledge Resources

Maltese

2013

Lecture Notes in Computer Science

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“…Using the Museum of the Person as a case-study, we illustrate how elements (or data item) can be found in the annotated documents to instantiate the ontology triples with concepts (the triple's subject and object) and relations (the triple's predicate). Although the triple storage is the most natural way to store the instances, our population method does not change if a relational database is used as archival (for a detailed and interesting comparison about both approaches see (Cruz et al, 2012)). …”

Section: Resultsmentioning

confidence: 99%

Virtual Learning Spaces Creation Based on the Systematic Population of an Ontology

Araújo

Henriques

Martini

2018

Journal of Information Systems Engineering & Management

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The creation of Learning Spaces on the Web, like the exhibition rooms of virtual museums, supported by an ontology that enables a conceptual navigation over the learning objects exposed, is a hard and complex task but of uttermost importance for the success of the knowledge acquisition process. In our opinion, the creation must be systematic and reusable from case to case, based on the query of the ontology instances that describe the museum assets. We will discuss how the ontology definition drives the way SPARQL (SPARQL Protocol and RDF Query Language) queries extract information from the TripleStore to be prepared for visualization. However, to enable this approach, we need to populate the ontology in an automatic way, extracting the data from the annotated documents in the institution repository. We intend to show how that process can be implemented using the Museum of the Person (MP) as a case-study, describing the XML2RDF tool developed. To illustrate the complete approach proposed we will include a guided visit to the exhibition rooms of MP created according to that proposal and by our tools.

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Ontologies versus relational databases: are they so different? A comparison

Cited by 102 publications

References 61 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

Imposing a Semantic Schema for the Detection of Potential Mistakes in Knowledge Resources

Virtual Learning Spaces Creation Based on the Systematic Population of an Ontology

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