scholarly journals Building Social Interactions as a Creation of Networks in an RDF Repository

2018 ◽  
Vol 7 (2) ◽  
pp. 59
Author(s):  
Eun G Park ◽  
Matthew Milner
Keyword(s):  
Social Interactions ◽  
Linked Data ◽  
Information Organization ◽  
Data Movement ◽  
Academic Communities ◽  
Collaborative Environment ◽  
Research Findings ◽  
Event Model ◽  
Description Framework ◽  
Resource Description

<p>Humanities scholars are not likely to be thinking about their research findings as data, and the predominant models of organizing documents remain generally archival or bibliographic in nature for text-based documents. Although the linked data movement has greatly influenced information organization and search queries on the Web, in comparison to other fields, the adoption of the linked data approach to humanities collections is unequally paced.  This study intends to explain how people or actors make social interactions, and how social interactions are formed in a type of network through the example of the Making Publics (MaPs) project. The objective of the MaPs project is to build collaborative common environments for tracing social interactions between people, things, places and times. To build social interactions, the Networked Event Model was designed in a collaborative environment. Events were defined as six types of nodes (e.g., people, organizations, places, things, events, and literals) in the RDF (Resource Description Framework) triple statements. The interaction vocabulary list is made of 173 verbs and predicates, offering 510 traceable events. The RDF repository runs on a Sesame server and MySQL architecture. Users can use digital tools to select and document events and visually present the selected events in interactive social web forms. The MaPs project sought to extract the network extant in the works of prose in large collaborative humanities documents. In this way, the dissemination of and access to humanities data can be made more connectable, available and accessible to both academic and non-academic communities.</p>

scholarly journals An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data

2018 ◽  
Vol 10 (8) ◽  
pp. 2613
Author(s):  
Dandan He ◽  
Zhongfu Li ◽  
Chunlin Wu ◽  
Xin Ning
Keyword(s):  
Data Integration ◽  
Construction Industry ◽  
Resource Description Framework ◽  
Linked Data ◽  
Query Language ◽  
Rapid Development ◽  
Data Sources ◽  
Product Data ◽  
Description Framework ◽  
Resource Description

Industrialized construction has raised the requirements of procurement methods used in the construction industry. The rapid development of e-commerce offers efficient and effective solutions, however the large number of participants in the construction industry means that the data involved are complex, and problems arise related to volume, heterogeneity, and fragmentation. Thus, the sector lags behind others in the adoption of e-commerce. In particular, data integration has become a barrier preventing further development. Traditional e-commerce platform, which considered data integration for common product data, cannot meet the requirements of construction product data integration. This study aimed to build an information-integrated e-commerce platform for industrialized construction procurement (ICP) to overcome some of the shortcomings existing platforms. We proposed a platform based on Building Information Modelling (BIM) and linked data, taking an innovative approach to data integration. It uses industrialized construction technology to support product standardization, BIM to support procurement process, and linked data to connect different data sources. The platform was validated using a case study. With the development of an e-commerce ontology, industrialized construction component information was extracted from BIM models and converted to Resource Description Framework (RDF) format. Related information from different data sources was also converted to RDF format, and Simple Protocol and Resource Description Framework Query Language (SPARQL) queries were implemented. The platform provides a solution for the development of e-commerce platform in the construction industry.

scholarly journals PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI

2016 ◽  
Vol XLI-B2 ◽  
pp. 583-586 ◽  
Author(s):  
E. Hietanen ◽  
L. Lehto ◽  
P. Latvala
Keyword(s):  
Information Content ◽  
Linked Data ◽  
Web Browser ◽  
Data Format ◽  
Spatial Objects ◽  
Ontology Language ◽  
Geographic Datasets ◽  
Description Framework ◽  
Data Objects ◽  
Resource Description

In this study, a prototype service to provide data from Web Feature Service (WFS) as linked data is implemented. At first, persistent and unique Uniform Resource Identifiers (URI) are created to all spatial objects in the dataset. The objects are available from those URIs in Resource Description Framework (RDF) data format. Next, a Web Ontology Language (OWL) ontology is created to describe the dataset information content using the Open Geospatial Consortium’s (OGC) GeoSPARQL vocabulary. The existing data model is modified in order to take into account the linked data principles. The implemented service produces an HTTP response dynamically. The data for the response is first fetched from existing WFS. Then the Geographic Markup Language (GML) format output of the WFS is transformed on-the-fly to the RDF format. Content Negotiation is used to serve the data in different RDF serialization formats. This solution facilitates the use of a dataset in different applications without replicating the whole dataset. In addition, individual spatial objects in the dataset can be referred with URIs. Furthermore, the needed information content of the objects can be easily extracted from the RDF serializations available from those URIs. &lt;br&gt;&lt;br&gt; A solution for linking data objects to the dataset URI is also introduced by using the Vocabulary of Interlinked Datasets (VoID). The dataset is divided to the subsets and each subset is given its persistent and unique URI. This enables the whole dataset to be explored with a web browser and all individual objects to be indexed by search engines.

scholarly journals MuSe: a multi-level storage scheme for big RDF data using MapReduce

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tanvi Chawla ◽  
Girdhari Singh ◽  
Emmanuel S. Pilli
Keyword(s):  
Linked Data ◽  
State Of The Art ◽  
Query Execution ◽  
Hadoop Mapreduce ◽  
Storage Scheme ◽  
The Common ◽  
Multi Level ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description

AbstractResource Description Framework (RDF) model owing to its flexible structure is increasingly being used to represent Linked data. The rise in amount of Linked data and Knowledge graphs has resulted in an increase in the volume of RDF data. RDF is used to model metadata especially for social media domains where the data is linked. With the plethora of RDF data sources available on the Web, scalable RDF data management becomes a tedious task. In this paper, we present MuSe—an efficient distributed RDF storage scheme for storing and querying RDF data with Hadoop MapReduce. In MuSe, the Big RDF data is stored at two levels for answering the common triple patterns in SPARQL queries. MuSe considers the type of frequently occuring triple patterns and optimizes RDF storage to answer such triple patterns in minimum time. It accesses only the tables that are sufficient for answering a triple pattern instead of scanning the whole RDF dataset. The extensive experiments on two synthetic RDF datasets i.e. LUBM and WatDiv, show that MuSe outperforms the compared state-of-the art frameworks in terms of query execution time and scalability.

scholarly journals Stalking the Resources for Security in Linked Data Applications Using Resource Description Framework

2020 ◽  
Vol 25 (6) ◽  
pp. 793-801
Author(s):  
Maturi Sreerama Murty ◽  
Nallamothu Nagamalleswara Rao
Keyword(s):  
Resource Description Framework ◽  
Linked Data ◽  
Work Rate ◽  
Provenance Information ◽  
Information Reconciliation ◽  
Global Positioning ◽  
Source Data ◽  
Description Framework ◽  
Alternate Routes ◽  
Resource Description

Following the accessibility of Resource Description Framework (RDF) resources is a key capacity in the establishment of Linked Data frameworks. It replaces center around information reconciliation contrasted with work rate. Exceptional Connected Data that empowers applications to improve by changing over legacy information into RDF resources. This data contains bibliographic, geographic, government, arrangement, and alternate routes. Regardless, a large portion of them don't monitor the subtleties and execution of each sponsored resource. In such cases, it is vital for those applications to track, store and scatter provenance information that mirrors their source data and introduced tasks. We present the RDF information global positioning framework. Provenance information is followed during the progress cycle and oversaw multiple times. From that point, this data is appropriated utilizing of this concept URIs. The proposed design depends on the Harvard Library Database. The tests were performed on informational indexes with changes made to the qualities??In the RDF and the subtleties related with the provenance. The outcome has quieted the guarantee as in it pulls in record wholesalers to make significant realities that develop while taking almost no time and exertion.

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.

scholarly journals Conversion of the English-Xhosa Dictionary for Nurses to a Linguistic Linked Data Framework

Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 274 ◽  
Author(s):  
Frances Gillis-Webber
Keyword(s):  
Data Model ◽  
Linked Data ◽  
Language Resources ◽  
The Public ◽  
Data Framework ◽  
Description Framework ◽  
Machine Readable ◽  
Methodological Guidelines ◽  
Resource Description ◽  
Language Pair

The English-Xhosa Dictionary for Nurses (EXDN) is a bilingual, unidirectional printed dictionary in the public domain, with English and isiXhosa as the language pair. By extending the digitisation efforts of EXDN from a human-readable digital object to a machine-readable state, using Resource Description Framework (RDF) as the data model, semantically interoperable structured data can be created, thus enabling EXDN’s data to be reused, aggregated and integrated with other language resources, where it can serve as a potential aid in the development of future language resources for isiXhosa, an under-resourced language in South Africa. The methodological guidelines for the construction of a Linguistic Linked Data framework (LLDF) for a lexicographic resource, as applied to EXDN, are described, where an LLDF can be defined as a framework: (1) which describes data in RDF, (2) using a model designed for the representation of linguistic information, (3) which adheres to Linked Data principles, and (4) which supports versioning, allowing for change. The result is a bidirectional lexicographic resource, previously bounded and static, now unbounded and evolving, with the ability to extend to multilingualism.

scholarly journals Modelo de dados abertos conectados para informação legislativa

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.

scholarly journals Having Your Cake and Eating It Too: JSON-LD as an RDF serialization format

2021 ◽  
Vol 5 ◽  
Author(s):  
Steven J Baskauf
Keyword(s):  
Design Pattern ◽  
Linked Data ◽  
Web Pages ◽  
Search Optimization ◽  
Darwin Core ◽  
International Image ◽  
Description Framework ◽  
Web Developers ◽  
Resource Description ◽  
Biodiversity Information

One impediment to the uptake of linked data technology is developers’ unfamiliarity with typical Resource Description Framework (RDF) serializations like Turtle and RDF/XML. JSON for Linking Data (JSON-LD) is designed to bypass this problem by expressing linked data in the well-known Javascript Object Notation (JSON) format that is popular with developers. JSON-LD is now Google’s preferred format for exposing Schema.org structured data in web pages for search optimization, leading to its widespread use by web developers. Another successful use of JSON-LD is by the International Image Interoperability Framework (IIIF), which limits its use to a narrow design pattern, which is readily consumed by a variety of applications. This presentation will show how a similar design pattern has been used in Audubon Core and with Biodiversity Information Standards (TDWG) controlled vocabularies to serialize data in a manner that is both easily consumed by conventional applications, but which also can be seamlessly loaded as RDF into triplestores or other linked data applications. The presentation will also suggest how JSON-LD might be used in other contexts within TDWG vocabularies, including with the Darwin Core Resource Relationship terms.

Linked Data

2019 ◽  
pp. 87-113
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Linked Data ◽  
Query Language ◽  
Exciting Field ◽  
Data Resource ◽  
Simple Protocol ◽  
Web Of Data ◽  
Promising Solution ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The data on the web is heterogeneous and distributed, which makes its integration a sine qua non-condition for its effective exploitation within the context of the semantic web or the so-called web of data. A promising solution for web data integration is the linked data initiative, which is based on four principles that aim to standardize the publication of structured data on the web. The objective of this chapter is to provide an overview of the essential aspects of this fairly recent and exciting field, including the model of linked data: resource description framework (RDF), its query language: simple protocol, and the RDF query language (SPARQL), the available means of publication and consumption of linked data, and the existing applications and the issues not yet addressed in research.

scholarly journals Um protótipo Linked data para catalogação semântica de publicações

2016 ◽  
Vol 21 (4) ◽  
pp. 48-65 ◽  
Author(s):  
Nilton Freitas Junior ◽  
Mark Douglas de Azevedo Jacynto
Keyword(s):  
Resource Description Framework ◽  
Linked Data ◽  
Description Framework ◽  
Resource Description

Resumo Este artigo apresenta a proposta e subsequente construção de um protótipo para catalogação semântica de publicações científicas. O protótipo desenvolvido segue os princípios Linked Data da nova Web Semântica proposta pelo consórcio W3C e encontra-se operacional. A proposta tem como diferencial o fato de todos os arquivos digitais das publicações serem anotados semanticamente com metadados semiestruturados inteligíveis por máquinas, permitindo que agentes de software nos auxiliem nas tarefas de busca, integração e processamentos de tais publicações, estabelecendo uma base de conhecimento Linked Data de publicações. A pesquisa que ampara o estudo e desenvolvimento do protótipo apresenta conceitos inerentes à Web Semântica, ao padrão de dados semiestruturados Resource Description Framework (RDF) e o uso de ontologias para representação de domínios de conhecimento. Testes de funcionamento são demonstrados e foram realizados com algumas publicações também relacionadas ao tema, salientando a capacidade do protótipo em fornecer informações acessíveis a pessoas e a máquinas (agentes de software), por meio de negociação de conteúdo. O protótipo encontra-se hospedado e está disponível para verificação online por qualquer interessado no tema deste artigo.

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