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Modelação Semântica: O caso de modelação de poesia

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Detalhes bibliográficos
Resumo:This paper stems from the POSTDATA project. lts main goal is to publish European poetry data in the Web of Data (Linked Open Data — LOD). This data is metadata of different resources related to literary works, manuscripts, and any of their features, such as: author, title, creation date, language usage, intertextuality relationships, and even versification issues as metre and rhyme. In order to enhance interoperability among any agent willing to publish poetry data as LOD, this project is currently developing a metadata application profile (MAP) for poetry. The starting point is a set of poetry and metre databases —most of them available on the Web of Documents. This paper presents the work that is being done in order to develop a MAP focusing this development in the data model definition activity. This paper also presents, shortly, the method used to develop the MAP and the techniques employed to define the data model. Finally, the paper refers the process of validation of the data model with the poetry community of practice. Once the MAP is defined, new applications developed with Semantic Web technologies will be able to i) use data from different sources (corpora) modelled using the MAP for poetry, and ii) link to other LOD datasets belonging to other communities of practice. All this will allow the poetry community to promote and develop more complex studies across different corpora. POSTDATA plans to finish the MAP development around June 2018.
Autores principais:Malta, Mariana Curado
Outros Autores:Sabel, Helena Bermúdez; Gonzalez-Blanco, Elena
Assunto:Dados Ligados Web Semântica Perfis de aplicação de metadados Poesia Métrica da poesia Linked Data Semantic Web Metadata application profiles Poetry Poetry metrics
Ano:2022
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Instituto Politécnico do Porto
Idioma:português
Origem:Encontros da Licenciatura em Ciências e Tecnologias da Documentação e Informação
Descrição
Resumo:This paper stems from the POSTDATA project. lts main goal is to publish European poetry data in the Web of Data (Linked Open Data — LOD). This data is metadata of different resources related to literary works, manuscripts, and any of their features, such as: author, title, creation date, language usage, intertextuality relationships, and even versification issues as metre and rhyme. In order to enhance interoperability among any agent willing to publish poetry data as LOD, this project is currently developing a metadata application profile (MAP) for poetry. The starting point is a set of poetry and metre databases —most of them available on the Web of Documents. This paper presents the work that is being done in order to develop a MAP focusing this development in the data model definition activity. This paper also presents, shortly, the method used to develop the MAP and the techniques employed to define the data model. Finally, the paper refers the process of validation of the data model with the poetry community of practice. Once the MAP is defined, new applications developed with Semantic Web technologies will be able to i) use data from different sources (corpora) modelled using the MAP for poetry, and ii) link to other LOD datasets belonging to other communities of practice. All this will allow the poetry community to promote and develop more complex studies across different corpora. POSTDATA plans to finish the MAP development around June 2018.