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

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 361 ◽  
Author(s):  
Raji Ghawi ◽  
Jürgen Pfeffer

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.

Author(s):  
Mariana Baptista Brandt ◽  
Silvana Aparecida Borsetti Gregorio Vidotti ◽  
José Eduardo Santarem Segundo

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.


Author(s):  
Giorgos Laskaridis ◽  
Konstantinos Markellos ◽  
Penelope Markellou ◽  
Angeliki Panayiotaki ◽  
Athanasios Tsakalidis

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.


Author(s):  
Wan-Yeung Wong ◽  
Tak-Pang Lau ◽  
Irwin King ◽  
Michael R. Lyu

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.


Author(s):  
Karen Coyle

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.


Author(s):  
Phu Ngoc Vo ◽  
Tran Vo Thi Ngoc

Many different areas of computer science have been developed for many years in the world. Data mining is one of the fields which many algorithms, methods, and models have been built and applied to many commercial applications and research successfully. Many social networks have been invested and developed in the strongest way for the recent years in the world because they have had many big benefits as follows: they have been used by lots of users in the world and they have been applied to many business fields successfully. Thus, a lot of different techniques for the social networks have been generated. Unsurprisingly, the social network analysis is crucial at the present time in the world. To support this process, in this book chapter we have presented many simple concepts about data mining and social networking. In addition, we have also displayed a novel model of the data mining for the social network analysis using a CLIQUE algorithm successfully.


2020 ◽  
pp. 016555152093095
Author(s):  
Gustavo Candela ◽  
Pilar Escobar ◽  
Rafael C Carrasco ◽  
Manuel Marco-Such

Cultural heritage institutions have recently started to share their metadata as Linked Open Data (LOD) in order to disseminate and enrich them. The publication of large bibliographic data sets as LOD is a challenge that requires the design and implementation of custom methods for the transformation, management, querying and enrichment of the data. In this report, the methodology defined by previous research for the evaluation of the quality of LOD is analysed and adapted to the specific case of Resource Description Framework (RDF) triples containing standard bibliographic information. The specified quality measures are reported in the case of four highly relevant libraries.


2021 ◽  
Vol 40 (1) ◽  
pp. 1065-1082
Author(s):  
Luyi Bai ◽  
Nan Li ◽  
Huilei Bai

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.


ILUMINURAS ◽  
2011 ◽  
Vol 12 (27) ◽  
Author(s):  
Mariela Blanco ◽  
Dora Jiménez

En este trabajo se busca analizar los diferentes lazos que utilizan los distintos trabajadores para construir su intermitente inserción laboral en el mercado de trabajo rural. El concepto de red resulta útil para el estudio de relaciones sociales que tienen la particularidad de ser dinámicas, intermitentes y no necesariamente limitadas a un tiempo, una dirección o un espacio. Desde este punto de vista podemos privilegiar la mirada sobre las relaciones sociales más que sobre las características particulares de los individuos y de su posición en la sociedad en su conjunto.Sobre la base de un trabajo de campo realizado en el Valle de Uco (Mendoza, Argentina) observamos que las distintas redes nos ayudan a explicar las relaciones sociales desplegadas en el mundo del trabajo.Palabras claves: Trabajadores temporarios. Relaciones sociales. Redes sociales. Y, si piden por la radio es porque algún defecto tienen. The importance of the social networks in the world of temporary rural workers. Abstract This paper seeks to analyze different links used by temporary rural workers to build their employability. The network concept is useful to study social relations that have the particularity of being dynamic, intermittent and not necessarily limited to one time, address or space. From this point of view we favor the use of a social relations perspective, rather than one based on the particular characteristics of individuals and their position in the society as a whole.Based on fieldwork conducted in the Valle de Uco (Mendoza, Argentina), we find that networks help to explain social relations unfolded in the world of labor.Keywords: Temporary rural workers. Social relations. Social network.


Community detection and Recommender systems are assumed as significant parts in helping the web users discover important information by proposing information of likely interest to them and a central task for network analysis means to segment a network into numerous substructures to assist with uncovering their inactive capacities. Community detection has been widely concentrated in and extensively applied to numerous real world network problems. Because of the possible worth of social relations in recommender systems, social recommendation has drawn in expanding consideration in recent years. As the issues that network strategies attempt to solve and the network information to be determined become progressively more complex, new methodologies have been proposed and created, traditional ways to deal with community detection and recommendation commonly use probabilistic graphical models and implement an assortment of earlier information to deduce community structures. Regardless of all the new progression, there is as yet an absence of astute comprehension of the hypothetical and methodological supporting of local area location, which will be fundamentally significant for future advancement of the space of social network analysis. In this paper, we start by giving conventional meanings of social networks terms and talk about the novel property of social networks and its implications. Unified architecture of network community finding methods to characterize the state-of-the-art of the field of community detection. In particular, we give a complete survey of the current community detection techniques and audit of existing recommender systems examine some exploration bearings to further develop social network capabilities.


Author(s):  
Burçin Güçlü ◽  
Miguel Ángel Canela ◽  
Inés Alegre

Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and logistic operations. In this chapter, the authors present an application of social network analysis techniques for academic research. The authors choose Kahneman and Tversky's prospect theory as the focus of their analysis and, based on that, develop a co-authorship structure that depicts in a clear manner the key authors and/or the researchers that dominate and bridge different sub-fields in the field of management. The authors discuss the implications of this study for academic research and management discipline.


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