Towards Semi-automatic Generation of R2R Mappings

Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patterns

História e humanidades digitais: o potencial das humanidades na era digital

Palestra realizada como parte da conferência "Humanidades Digitais - Ferramentas e Aplicações" realizada na Universidade Autónoma de Lisboa

Petições coloniais: Humanidades Digitais no Mapeamento e Análise da Comunicação Política Ultramarina (1736-1807)

Palestra realizada como parte da conferência "Humanidades Digitais - Ferramentas e Aplicações" realizada na Universidade Autónoma de Lisboa

Towards Semi-automatic Generation of R2R Mappings

Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping pattern

Framework for Live Synchronization of RDF Views of Relational Data

This Demo presents a framework for the live synchronization of an RDF view defined on top of relational database. In the proposed framework, rules are responsible for computing and publishing the changeset required for the RDB-RDF view to stay synchronized with the relational database. The computed changesets are then used for the incremental maintenance of the RDB_RDF views as well as application views. The Demo is based on the LinkedBrainz Live tool, developed to validate the proposed framework

A Fuzzy Approach for Data Quality Assessment of Linked Datasets

For several applications, an integrated view of linked data, denoted linked data mashup, is a critical requirement. Nonetheless, the quality of linked data mashups highly depends on the quality of the data sources. In this sense, it is essential to analyze data source quality and to make this information explicit to consumers of such data. This paper introduces a fuzzy ontology to represent the quality of linked data source. Furthermore, the paper shows the applicability of the fuzzy ontology in the process of evaluating data source quality used to build linked data mashups

Publishing and Consuming Semantic Views for Construction of Knowledge Graphs

The main goal of semantic integration is to provide a virtual semantic view that is semantically connected to data so that applications can have integrated access to data sources through the virtual Knowledge Graph. A semantic view can be published on a semantic portal to make it reusable for building Knowledge Graphs for different applications. This paper takes the first step towards publishing a semantic view on a semantic portal. This paper has three main contributions. First, we introduce a vocabulary for specifying semantic views. Then, we introduce a vocabulary for specification and quality assessment of Knowledge Graph. Third, we describe an approach to automatize the construction of a high-quality Knowledge Graph reusing a semantic view

Utilização de Conteúdo Gerado Pelo Utilizador Para Suportar A Criação de Destinos Turísticos Inteligentes

A pandemia Covid-19 teve um impacto sem precedentes na indústria do turismo. Acredita-se que a recuperação do setor passa por um forte investimento em tecnologias que permitam criar e gerir a perceção dos turistas sobre a imagem virtual dos destinos turísticos. Este artigo propõe uma discussão sobre a relevância do User Generated Content (UGC) para revelar a imagem virtual de um destino turístico, a fim de contribuir para a criação de um Smart Tourism Destination (STD). A imagem virtual é estudada sob a perspetiva do sistema de transporte público pelo facto de sua melhoria ser um dos objetivos do plano estratégico do Turismo de Portugal para criação de um STD na década de 2017 – 2027. A metodologia utilizada foi a qualitativa, por meio de uma pesquisa bibliográfica, em que foram abordados os fatores-chave desta temática. Após o estudo realizado concluiu-se que a exploração de UGC pode permitir aos gestores e entidades reguladoras e promotoras do turismo extrair muitas informações interessantes acerca de como tirar melhor proveito das tecnologias adotadas para criar valor para os turistas e, consequentemente, gerar vantagens competitivas sustentávei

Ontology-based question answering systems over knowledge bases: a survey

Searching relevant, specific information in big data volumes is quite a challenging task. Despite the numerous strategies in the literature to tackle this problem, this task is usually carried out by resorting to a Question Answering (QA) systems. There are many ways to build a QA system, such as heuristic approaches, machine learning, and ontologies. Recent research focused their efforts on ontology-based methods since the resulting QA systems can benefit from knowledge modeling. In this paper, we present a systematic literature survey on ontology-based QA systems regarding any questions. We also detail the evaluation process carried out in these systems and discuss how each approach differs from the others in terms of the challenges faced and strategies employed. Finally, we present the most prominent research issues still open in the field

A Web Semântica: Conceitos e Aplicações

A Web Semântica: Conceitos e Aplicaçõe