Formal Description and Automatic Generation of Learning Spaces Based on Ontologies

Martini, Ricardo Giuliani; Librelotto, Giovani Rubert; Henriques, Pedro Rangel

doi:10.1016/j.procs.2016.08.136

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…The platform that will be introduced, CaVa [5] (Figure 1), splits the building process into a first module, the Ingestion Function (XML2RDF), to extract data from the sources and upload the ontology triples, and a second module, the Generator (CaVa gen ), to automatically generate the query for each exhibition room based on a formal specification and a subset of the main ontology, and to organize the returned information to be exhibited in adequate Web pages.…”

Section: Architecture Of the Systemmentioning

confidence: 99%

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CaVa: An Example of the Automatic Generation of Virtual Learning Spaces

Martini

Araújo

Henriques

et al. 2018

Advances in Intelligent Systems and Computing

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Abstract. In order to construct web Learning Spaces (LS), more than collect and digitalize information, a powerful data extraction and querying engine and a sophisticated web publishing mechanism are needed. In this paper, a system to automatically construct those learning spaces based on a digital repository is presented. The system takes XML files from repositories and populates an ontology (representing the knowledge base, the core of our system) to create the triples internal representation. A Domain Specific Language (CaVa DSL ) will be used to specify the learning spaces based on that ontology. The formal description, written in that DSL, will be processed by Cava gen engine to generate the final LS.

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Section: Architecture Of the Systemmentioning

confidence: 99%

“…From this repository, an ontology was built, using the CIDOC-CRM 4 , FOAF 5 and DBpedia 6 standards, to store the information contained in the assets, in the form of triples. For more information on this concrete ontology, see: http://npmp.epl.di.uminho.pt/cidoc_foaf_db.html.…”

Section: Data Extraction and Ontology Population: Xml2rdfmentioning

confidence: 99%

CaVa: An Example of the Automatic Generation of Virtual Learning Spaces

Martini

Araújo

Henriques

et al. 2018

Advances in Intelligent Systems and Computing

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“…One of the main topics of Artificial Intelligence is the sharing of knowledge [1,2]. The processing of knowledge structures must be independent of the programming language.…”

Section: Introductionmentioning

confidence: 99%

Creating an Ontology to Represent Qualitatively a Scene in a Virtual Reality Environment

Pacheco¹,

Sosa²,

Ruiz³

et al. 2018

RCS

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Ontologies are widely used as a tool for representing knowledge in Artificial Intelligence more specifically in qualitatively knowledge representation and reasoning, for example, to represent concepts and their relationships. On the other hand, virtual reality has several applications in different fields: such as in medical systems, computer-aided design and education as a virtual learning environment. In both cases, qualitative representations are necessary to perform any qualitative reasoning task. In this paper, we see VRML and Java 3D. Which are formal languages are used to describe objects in 3D. We analyze the similarities between them to define an application ontology with the aim to represent virtual reality environments, independently of the programming language. Then a spatial ontology is defined to describe topological, directional and metric relation which can be used to describe the basic operations in a 3D scene to build a complex environment. Finally, these two ontologies are seen that can be constructed independently but integrated together whether needed.

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“…So we will not include a section on related work. For the sake of space (necessary to introduce all the novelties of this paper) we decided not to include a state of the art section; the reader is referred to the authors pre-thesis [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Architectural approaches to build the museum of the person

Araújo

Henriques

Martini

et al. 2016

2016 11th Iberian Conference on Information Systems and Technologies (CISTI)

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The Museum of the Person (Museu da Pessoa, MP) is a virtual museum aimed at exhibiting life stories of common people. Its assets are composed of several interviews involving people whose stories we want to perpetuate. So the museum holds an heterogeneous collection of XML (eXtensible Markup Language) documents that constitute the working repository. The main idea is to extract automatically the information included in the repository in order to build the web pages that realize the museum's exhibition rooms. This project started by creating a specific ontology (OntoMP) for the knowledge repository of MP. That ontology is intended to allow a conceptual navigation over the available information. We will adopt the standard for museum ontologies CIDOC-CRM (CIDOC Conceptual Reference Model) refined with FOAF to represent OntoMP. The objective of this paper is to discuss different architectural approaches to build a system that will create the virtual rooms from the XML repository to enable visitors to lookup individual life stories and also intercross information among them. The first architecture is based on a TripleStore and uses SPARQL (SPARQL Protocol and RDF Query Language) technology to extract the information, while the second proposal is based on a Relational Database and uses CaVa Generator to query the repository and build the exhibition spaces.

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Formal Description and Automatic Generation of Learning Spaces Based on Ontologies

Cited by 9 publications

References 13 publications

CaVa: An Example of the Automatic Generation of Virtual Learning Spaces

CaVa: An Example of the Automatic Generation of Virtual Learning Spaces

Creating an Ontology to Represent Qualitatively a Scene in a Virtual Reality Environment

Architectural approaches to build the museum of the person

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