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.

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.

OWL

2011 ◽  
pp. 3009-3017
Author(s):  
Adélia Gouveia ◽  
Jorge Cardoso
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Particle Physics ◽  
World Wide ◽  
Visual Presentation ◽  
Web Pages ◽  
Markup Language ◽  
Extensible Markup ◽  
Description Framework ◽  
The Web

The World Wide Web (WWW) emerged in 1989, developed by Tim Berners-Lee who proposed to build a system for sharing information among physicists of the CERN (Conseil Européen pour la Recherche Nucléaire), the world’s largest particle physics laboratory. Currently, the WWW is primarily composed of documents written in HTML (hyper text markup language), a language that is useful for visual presentation (Cardoso & Sheth, 2005). HTML is a set of “markup” symbols contained in a Web page intended for display on a Web browser. Most of the information on the Web is designed only for human consumption. Humans can read Web pages and understand them, but their inherent meaning is not shown in a way that allows their interpretation by computers (Cardoso & Sheth, 2006). Since the visual Web does not allow computers to understand the meaning of Web pages (Cardoso, 2007), the W3C (World Wide Web Consortium) started to work on a concept of the Semantic Web with the objective of developing approaches and solutions for data integration and interoperability purpose. The goal was to develop ways to allow computers to understand Web information. The aim of this chapter is to present the Web ontology language (OWL) which can be used to develop Semantic Web applications that understand information and data on the Web. This language was proposed by the W3C and was designed for publishing, sharing data and automating data understood by computers using ontologies. To fully comprehend OWL we need first to study its origin and the basic blocks of the language. Therefore, we will start by briefly introducing XML (extensible markup language), RDF (resource description framework), and RDF Schema (RDFS). These concepts are important since OWL is written in XML and is an extension of RDF and RDFS.

Semantic E-Business Challenges and Directions

2011 ◽  
pp. 1421-1428
Author(s):  
Giorgos Laskaridis ◽  
Konstantinos Markellos ◽  
Penelope Markellou ◽  
Angeliki Panayiotaki ◽  
Athanasios Tsakalidis
Keyword(s):  
Semantic Web ◽  
World Wide ◽  
Business Processes ◽  
Semantic Knowledge ◽  
Web Based ◽  
The World ◽  
Extensible Markup ◽  
Description Framework ◽  
Business Challenges ◽  
Resource Description

The emergence of semantic Web opens up boundless new opportunities for e-business. According to Tim Berners-Lee, Hendler, and Lassila (2001), “the semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation”. A more formal definition by W3C (2001) refers that, “the semantic Web is the representation of data on the World Wide Web. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the resource description framework (RDF), which integrates a variety of applications using eXtensible Markup Language (XML) for syntax and uniform resource identifiers (URIs) for naming”. The capability of the semantic Web to add meaning to information, stored in such way that it can be searched and processed as well as recent advances in semantic Web-based technologies provide the mechanisms for semantic knowledge representation, exchange and collaboration of e-business processes and applications.

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.

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.

Semantic Cloud Architecture An Integration of Cloud and Semantic Web

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Jayalakshmi Srinivasan
Keyword(s):  
Cloud Computing ◽  
Linked Data ◽  
Collaborative Work ◽  
Data Sets ◽  
It Services ◽  
Cloud Architecture ◽  
Description Framework ◽  
Data Portability ◽  
Resource Description ◽  
The Web

In the last few years, the amount of structured data made available on the Web in semantic formats has grown by several orders of magnitude. On one side, the Linked Data effort has made available online hundreds of millions of entity descriptions based on the Resource Description Framework (RDF) in data sets. On the other hand, the Web 2.0 community has increasingly embraced the idea of data portability, and the first efforts have already produced billions of RDF equivalent triples either embedded inside HTML pages using micro formats or exposed directly using eRDF (embedded RDF) and RDFa (RDF attributes). In another side Cloud Computing is offering utility concerned IT services to users worldwide. It enables hosting of applications from consumers, scientific and business domains. The beauty of cloud computing is its simplicity. This paper focuses on the process of transitioning from IT architectures of today to Semantic Cloud Architecture. The emphasis is on collaborative work of business and enterprise architects to reduce operational costs and to achieve heights.

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.

scholarly journals Petri nets on the semantic web guidelines and infrastructure

2004 ◽  
Vol 1 (2) ◽  
pp. 127-151 ◽  
Author(s):  
Dragan Gasevic
Keyword(s):  
Semantic Web ◽  
Petri Net ◽  
Ontology Language ◽  
Uml Profiles ◽  
Community Effort ◽  
Model Sharing ◽  
Petri Net Markup Language ◽  
Description Framework ◽  
Definition Of ◽  
Resource Description

This paper gives the Petri net ontology as the most important element in providing Petri net support for the Semantic Web. Available Petri net formal descriptions are: metamodels, UML profiles, ontologies and syntax. Metamodels are useful, but their main purpose is for Petri net tools. Although the current Petri-net community effort Petri Net Markup Language (PNML) is XML-based, it lacks a precise definition of semantics. Existing Petri net ontologies are partial solutions specialized for a specific problem. In order to show current Petri net model sharing features we use P3 tool that uses PNML/XSLT-based approach for model sharing. This paper suggests developing the Petri net ontology to represent semantics appropriately. This Petri net ontology is described using UML, Resource Description Framework (Schema) RDF(S) and the Web Ontology Language-OWL.

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