Proposta de uma ferramenta de anotação semântica para publicação de dados estruturados na Web

• Autor(a) principal: Calegari, Newton Juniano
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://tede2.pucsp.br/handle/handle/18992
• topic: Web semântica; Dados estruturados; Anotação semântica; Semantic web; Structured data; Semantic annotation; CNPQ::ENGENHARIAS

The tool proposed in this research aims at bringing together the Semantic Web technologies and content publishers, this way enabling the latter to contribute to creating structured data and metadata about texts and information they may make available on the Web. The general goal is to investigate the technical feasibility of developing a semantic annotation tool that enables content publishers to contribute to the Semantic Web ecosystem. Based on (BERNERS-LEE et al., 2001; ALESSO; SMITH, 2006; RODRÍGUEZ-ROCHA et al., 2015; GUIZZARDI, 2005; ISOTANI; BITTENCOURT, 2015), the Semantic Web is presented according to its technological stack. Considering the importance of the ontologies and vocabularies used to create Semantic Web applications, the essential subjects of the conceptual modelling and the ontology language used on the Web are presented. In order to provide the necessary concepts to use semantic annotations, this dissertation presents both the way annotations are used (manual, semi-automatic, and automatic) as well as the way these annotations are integrated with resources available on the Web. The state-of-the-art chapter describes recent projects and related work on the use of Semantic Web within Web-content publishing context. The methodology adopted by this research is based on (SANTAELLA; VIEIRA, 2008; GIL, 2002), in compliance with the exploratory approach for research. This research presents the proposal and the architecture of the semantic annotation tool, which uses shared vocabulary in order to create structured data based on textual content. In conclusion, this dissertation addresses the possibilities of future work, both in terms of the implementation of the tool in a real use case as well as in new scientific research