A Tutorial on RDF with Jena

This chapter gives a tutorial on resource description framework (RDF), its XML representation, and Jena, a set of Java-based API designed and implemented to further simplify the manipulation of RDF documents. RDF is a W3C standard which provides a common framework for describing resources in the World Wide Web and other applications. Under this standard framework with the Jena, different resources can be manipulated and exchanged easily, which leads to cost reduction and better efficiency in business applications. In this tutorial, we present some basic concepts and applications of RDF and Jena. In particular, we use a television object to illustrate the usage of RDF in describing various resources being used, the XML syntax in representing the RDF, and the ways Jena manipulate various RDF documents. Furthermore, complete programming codes with detailed explanations are also presented to give readers a better understanding of Jena. References are given at the end for readers’ further investigation.

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RDA and RDF: A discourse analysis of two standards of resource description

NASKO ◽

10.7152/nasko.v3i1.12804 ◽

2011 ◽

Vol 3 (1) ◽

pp. 207

Author(s):

D. Grant Campbell

Keyword(s):

Discourse Analysis ◽

World Wide Web ◽

Web 2.0 ◽

Resource Description Framework ◽

World Wide ◽

The World ◽

Description Framework ◽

Theory Of Discourse ◽

Shared Commitment ◽

Resource Description

The World Wide Web Consortium’s Resource Description Framework (RDF) and the library community’s new cataloguing standard, Resource Description and Access (RDA), both profess to provide sophisticated and flexible means of describing resources for modern Web environments. But both have attracted scepticism from potential users, who argue that their supposed innovations are overrated. A comparison of the two standards using Michel Foucault’s theory of discourse formations suggests that while the two standards differ in their community contexts and their use of intermediaries, they are similar to each other in their commitment to consistent, rigorously-defined entities and relationships; this shared commitment sets them apart from Web 2.0 developments, and offers the potential for fruitful collaboration.

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Application Profiles

Advances in Web Technologies and Engineering - Developing Metadata Application Profiles ◽

10.4018/978-1-5225-2221-8.ch001 ◽

2017 ◽

pp. 1-15

Author(s):

Karen Coyle

Keyword(s):

Resource Description Framework ◽

World Wide ◽

Xml Schema ◽

Dublin Core ◽

Xml Documents ◽

Framework Model ◽

The World ◽

Description Framework ◽

Machine Readable ◽

Resource Description

Application profiles fulfill similar functions to other forms of metadata documentation, such as data dictionaries. The preference is for application profiles to be machine-readable and machine-actionable, so that they can provide validation and processing instructions, not unlike XML schema does for XML documents. These goals are behind the work of the Dublin Core Metadata Initiative in the work that has been done over the last decade to develop application profiles for data that uses the Resource Description Framework model of the World Wide Web Consortium.

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Semantic E-Business Challenges and Directions

Encyclopedia of Networked and Virtual Organizations ◽

10.4018/978-1-59904-885-7.ch187 ◽

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.

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An integration approach of multi-source heterogeneous fuzzy spatiotemporal data based on RDF

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-201258 ◽

2021 ◽

Vol 40 (1) ◽

pp. 1065-1082

Author(s):

Luyi Bai ◽

Nan Li ◽

Huilei Bai

Keyword(s):

World Wide ◽

Integration Method ◽

Graph Model ◽

Spatiotemporal Data ◽

Rdf Graph ◽

Integration Approach ◽

The World ◽

Description Framework ◽

Resource Description ◽

Significant Superiority

With the growing importance of the fuzzy spatiotemporal data in information application, there is an increasing need for researching on the integration method of multi-source heterogeneous fuzzy spatiotemporal data. In this paper, we first propose a fuzzy spatiotemporal RDF graph model based on RDF (Resource Description Framework) that proposed by the World Wide Web Consortium (W3C) to represent data in triples (subject, predicate, object). Secondly, we analyze and classify the related heterogeneous problems of multi-source heterogeneous fuzzy spatiotemporal data, and use the fuzzy spatiotemporal RDF graph model to define the corresponding rules to solve these heterogeneous problems. In addition, based on the characteristics of RDF triples, we analyze the heterogeneous problem of multi-source heterogeneous fuzzy spatiotemporal data integration in RDF triples, and provide the integration methods FRDFG in this paper. Finally, we report our experiments results to validate our approach and show its significant superiority.

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Modelo de dados abertos conectados para informação legislativa

Informação & Sociedade: Estudos ◽

10.22478/ufpb.1809-4783.2018v28n2.37979 ◽

2018 ◽

Vol 28 (2) ◽

Author(s):

Mariana Baptista Brandt ◽

Silvana Aparecida Borsetti Gregorio Vidotti ◽

José Eduardo Santarem Segundo

Keyword(s):

Resource Description Framework ◽

Linked Data ◽

World Wide ◽

Open Data ◽

Linked Open Data ◽

Dublin Core ◽

Description Framework ◽

E Mail ◽

Resource Description ◽

Rdf Schema

A presente pesquisa objetiva propor um modelo de dados abertos conectados (linked open data - LOD), para um conjunto de dados abertos legislativos da Câmara dos Deputados. Para tanto, procede-se à revisão de literatura sobre os conceitos de dados abertos, dados abertos governamentais, dados conectados (linked data), e dados abertos conectados (linked open data), seguido de pesquisa aplicada, com a modelagem de dados legislativos no modelo LOD. Para esta pesquisa foi selecionado o conjunto de dados "Deputados", que contém informações como partido político, unidade federativa, e-mail, legislatura, entre outras, sobre os parlamentares. Desse modo, observa-se que a estruturação do conjunto de dados em RDF (Resource Description Framework) é possível com reuso de vocabulários e padrões já estabelecidos na Web Semântica como Dublin Core, Friend of a Friend (FOAF), RDF e RDF Schema, além de vocabulários de áreas correlatas, como a Ontologia da Câmara dos Deputados italiana e a da Assembleia Nacional Francesa. Conforme recomendação do padrão Linked Data, os recursos foram relacionados também a outros conjuntos de LOD para enriquecimento semântico, como as bases Geonames e DBpedia. O estudo que permite concluir que a disponibilização dos dados governamentais, em especial, dados legislativos, pode ser feita seguindo as recomendações da W3C (World Wide Web Consortium) e, assim, integrar os dados legislativos à Web de Dados e ampliar as possibilidades de reuso e aplicações dos dados em ações de transparência e fiscalização, aproximando os cidadãos do Congresso e de seus representantes.

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Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL

Information ◽

10.3390/info11070361 ◽

2020 ◽

Vol 11 (7) ◽

pp. 361 ◽

Cited By ~ 1

Author(s):

Raji Ghawi ◽

Jürgen Pfeffer

Keyword(s):

Social Networks ◽

Social Network ◽

Network Analysis ◽

Social Relations ◽

World Wide ◽

Open Data ◽

Linked Open Data ◽

The World ◽

Description Framework ◽

Resource Description

Linked Open Data (LOD) refers to freely available data on the World Wide Web that are typically represented using the Resource Description Framework (RDF) and standards built on it. LOD is an invaluable resource of information due to its richness and openness, which create new opportunities for many areas of application. In this paper, we address the exploitation of LOD by utilizing SPARQL queries in order to extract social networks among entities. This enables the application of de-facto techniques from Social Network Analysis (SNA) to study social relations and interactions among entities, providing deep insights into their latent social structure.

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A Link-Based Ranking Algorithm for Semantic Web Resources

Journal of Database Management ◽

10.4018/jdm.2011010101 ◽

2011 ◽

Vol 22 (1) ◽

pp. 1-25 ◽

Cited By ~ 4

Author(s):

Hyunjung Park ◽

Sangkyu Rho ◽

Jinsoo Park

Keyword(s):

Semantic Web ◽

World Wide ◽

Fundamental Difference ◽

Ranking Algorithm ◽

Relative Significance ◽

Web Resources ◽

The World ◽

Description Framework ◽

Different Characteristics ◽

Resource Description

The information space of the Semantic Web has different characteristics from that of the World Wide Web (WWW). One main difference is that in the Semantic Web, the direction of Resource Description Framework (RDF) links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting process but by a specific schema in the Semantic Web. Considering this fundamental difference, the authors propose a method for ranking Semantic Web resources independent of link directions and show the convergence of the algorithm and experimental results. This method focuses on the classes rather than the properties. The property weights are assigned depending on the relative significance of the property to the resource importance of each class. It solves some problems reported in prior studies, including the Tightly Knit Community (TKC) effect, as well as having higher accuracy and validity compared to existing methods.

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VP-RDF: An RDF Based Framework to Introduce the Viewpoint in the Description of Resources

Applied Computer Systems ◽

10.2478/acss-2021-0006 ◽

2021 ◽

Vol 26 (1) ◽

pp. 44-53

Author(s):

Ouahiba Djama

Keyword(s):

Resource Description Framework ◽

Intelligent Systems ◽

Query Languages ◽

View Point ◽

Share Data ◽

Common Framework ◽

Description Framework ◽

Rdf Graphs ◽

Resource Description ◽

The Web

Abstract The description of resources and their relationships is an essential task on the web. Generally, the web users do not share the same interests and viewpoints. Each user wants that the web provides data and information according to their interests and specialty. The existing query languages, which allow querying data on the web, cannot take into consideration the viewpoint of the user. We propose introducing the viewpoint in the description of the resources. The Resource Description Framework (RDF) represents a common framework to share data and describe resources. In this study, we aim at introducing the notion of the viewpoint in the RDF. Therefore, we propose a View-Point Resource Description Framework (VP-RDF) as an extension of RDF by adding new elements. The existing query languages (e.g., SPARQL) can query the VP-RDF graphs and provide the user with data and information according to their interests and specialty. Therefore, VP-RDF can be useful in intelligent systems on the web.

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A Link-Based Ranking Algorithm for Semantic Web Resources

Innovations in Database Design, Web Applications, and Information Systems Management ◽

10.4018/978-1-4666-2044-5.ch001 ◽

2013 ◽

pp. 1-25

Author(s):

Hyunjung Park ◽

Sangkyu Rho ◽

Jinsoo Park

Keyword(s):

Semantic Web ◽

World Wide ◽

Fundamental Difference ◽

Experimental Results ◽

Relative Significance ◽

Web Resources ◽

The World ◽

Description Framework ◽

Different Characteristics ◽

Resource Description

The information space of the Semantic Web has different characteristics from that of the World Wide Web (WWW). One main difference is that in the Semantic Web, the direction of Resource Description Framework (RDF) links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting process but by a specific schema in the Semantic Web. Considering this fundamental difference, the authors propose a method for ranking Semantic Web resources independent of link directions and show the convergence of the algorithm and experimental results. This method focuses on the classes rather than the properties. The property weights are assigned depending on the relative significance of the property to the resource importance of each class. It solves some problems reported in prior studies, including the Tightly Knit Community (TKC) effect, as well as having higher accuracy and validity compared to existing methods.

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