scholarly journals Análise dos padrões XML e RDF para representação da Web sob a perspectiva da Ciência da Informação: um estudo preliminar

2019 ◽  
Vol 5 (1) ◽  
pp. 65-78
Author(s):  
Janailton Lopes Sousa ◽  
Paulo George Miranda Martins ◽  
Rogério Aparecido Sá Ramalho
Keyword(s):  
Resource Description Framework ◽  
Extensible Markup Language ◽  
Markup Language ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

A partir do desenvolvimento das tecnologias de informação novas possibilidades de representação foram incorporadas ao ambiente Web, entre os principais padrões desenvolvidos nas últimas décadas e que têm influenciado as práticas profissionais na área de Ciência da Informação pode-se destacar a linguagem eXtensible Markup Language (XML) e o Resource Description Framework (RDF). Ao longo dos últimos anos, tais tecnologias têm revolucionado a forma como manipulamos recursos informacionais, contudo, é possível observar que muitos profissionais da área de Ciência da Informação ainda possuem dificuldades em relação ao entendimento e utilização destes padrões. Neste sentido, este artigo apresenta uma pesquisa em andamento com o objetivo de descrever as principais características dos padrões XML e RDF, analisando os aspectos conceituais que fundamentam tais tecnologias sob a perspectiva da área de Ciência da Informação. Trata-se de um estudo teórico e exploratório, realizado mediante levantamento bibliográfico sobre a temática em questão, revisitando a literatura da área de Ciência da Informação e documentos técnicos publicados pelo W3C relacionados aos padrões analisados. Como resultados são apresentados sucintamente algumas das relações existentes entre os fundamentos que norteiam o desenvolvimento de tais padrões e conceitos da área de Ciência da Informação, no intuito de favorecer uma maior discussão desta temática a contribuir para o aprimoramento profissional em relação às novas tecnologias de representação.

scholarly journals A vida secreta dos metadados no wikidata: um enfoque sobre o sentido na (Web) Semântica Formal

2018 ◽  
Vol 28 (1) ◽  
Author(s):  
Silvana Drumond Monteiro
Keyword(s):  
Resource Description Framework ◽  
Extensible Markup Language ◽  
Markup Language ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

Desde o anúncio da Web Semântica, até o presente momento, muitas tecnologias e inovações foram desenvolvidas para dar corpo e efetividade ao conceito. Essa teia de significações é composta por linguagens e tecnologias semânticas, como o XML (eXtensible Markup Language), RDF (Resource Description Framework), Declarações, entre outras que estruturam os dados que perambulam pelo ciberespaço, formando grandes bases de conhecimento, como o Wikidata (Wikimedia Foundation). A lógica principal da Web Semântica está em descrever as entidades (coisas) do mundo real e vinculá-las a outras, para que essa rede de significações possa ser ativada, recuperada e interpretada pelas máquinas e humanos.  A pesquisa de delineamento documental teve como corpus de pesquisa o Wikidata. A investigação visou perscrutar essa base para apreensão da estruturação de metadados para responder a questão: que tipo de Semântica estaria sendo produzida em uma base de conhecimento? Como resultado, observou-se que a Semântica Formal é a base para a geração de metadados, entretanto, no paradigma pós-moderno, o sentido – e a própria Semântica - são um fenômeno sociotécnico no ciberespaço.

Administering the Semantic Web

2011 ◽  
pp. 262-277
Author(s):  
Bhavani Thuraisingham ◽  
Natasha Tsybulnik ◽  
Ashraful Alam
Keyword(s):  
Information Processing ◽  
Semantic Web ◽  
Data Quality ◽  
Resource Description Framework ◽  
Web Pages ◽  
Markup Language ◽  
Language Resource ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

The Semantic Web is essentially a collection of technologies to support machine understandable Web pages as well as Information Interoperability. There has been much progress made on the Semantic Web including standards for eXtensible Markup Language, Resource Description Framework and Onotlogies. However, administration policies and techniques for enforcing them have received little attention. These policies include policies for security, privacy, data quality, integrity, trust and timely information processing. This chapter discusses administration policies for the Semantic Web as well as techniques for enforcing them. In particular, the authors will discuss an approach for ensuring confidentiality, privacy and trust for the Semantic Web. We will also discuss the inference and privacy problems within the context of administration policies.

Administering the Semantic Web

2008 ◽  
pp. 72-88
Author(s):  
Bhavani Thuraisingham ◽  
Natasha Tsybulnik ◽  
Ashraful Alam
Keyword(s):  
Information Processing ◽  
Semantic Web ◽  
Data Quality ◽  
Resource Description Framework ◽  
Web Pages ◽  
Markup Language ◽  
Language Resource ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

The Semantic Web is essentially a collection of technologies to support machine-understandable Web pages as well as Information Interoperability. There has been much progress made on the Semantic Web, including standards for eXtensible Markup Language, Resource Description Framework, and Ontologies. However, administration policies and techniques for enforcing them have received little attention. These policies include policies for security, privacy, data quality, integrity, trust, and timely information processing. This article discusses administration policies for the Semantic Web as well as techniques for enforcing them. In particular, we will discuss an approach for ensuring confidentiality, privacy, and trust for the Semantic Web. We will also discuss the inference and privacy problems within the context of administration policies.

Technique for Transformation of Data From RDB to XML Then to RDF

2017 ◽  
pp. 70-91 ◽  
Author(s):  
Kaleem Razzaq Malik ◽  
Tauqir Ahmad
Keyword(s):  
Semantic Web ◽  
Relational Database ◽  
Resource Description Framework ◽  
Data Science ◽  
True Nature ◽  
Extensible Markup ◽  
Description Framework ◽  
Mapping Techniques ◽  
Resource Description ◽  
The Web

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

scholarly journals Transitioning from XML to RDF: Considerations for an effective move towards Linked Data and the Semantic Web

2016 ◽  
Vol 35 (1) ◽  
pp. 51 ◽  
Author(s):  
Juliet L. Hardesty
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Academic Library ◽  
Data Sets ◽  
Markup Language ◽  
Digital Repository ◽  
Extensible Markup ◽  
Description Framework ◽  
Meaningful Relationships ◽  
Resource Description

Metadata, particularly within the academic library setting, is often expressed in eXtensible Markup Language (XML) and managed with XML tools, technologies, and workflows. Managing a library’s metadata currently takes on a greater level of complexity as libraries are increasingly adopting the Resource Description Framework (RDF). Semantic Web initiatives are surfacing in the library context with experiments in publishing metadata as Linked Data sets and also with development efforts such as BIBFRAME and the Fedora 4 Digital Repository incorporating RDF. Use cases show that transitions into RDF are occurring in both XML standards and in libraries with metadata encoded in XML. It is vital to understand that transitioning from XML to RDF requires a shift in perspective from replicating structures in XML to defining meaningful relationships in RDF. Establishing coordination and communication among these efforts will help as more libraries move to use RDF, produce Linked Data, and approach the Semantic Web.

Technique for Transformation of Data From RDB to XML Then to RDF

2018 ◽  
pp. 1078-1096
Author(s):  
Kaleem Razzaq Malik ◽  
Tauqir Ahmad
Keyword(s):  
Semantic Web ◽  
Relational Database ◽  
Resource Description Framework ◽  
Data Science ◽  
True Nature ◽  
Extensible Markup ◽  
Description Framework ◽  
Mapping Techniques ◽  
Resource Description ◽  
The Web

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

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