A Linked Data Model for E-books

2012 ◽  
Author(s):  
Kornschnok Dittawit ◽  
Vilas Wuwongse
Keyword(s):  
Data Model ◽  
Linked Data

MAKING SENSE OF THE WAYS WE MAKE SENSE OF THE PAST: THE PERIODO PROJECT

2016 ◽  
Vol 59 (2) ◽  
pp. 42-55 ◽  
Author(s):  
ADAM RABINOWITZ ◽  
RYAN SHAW ◽  
SARAH BUCHANAN ◽  
PATRICK GOLDEN ◽  
ERIC KANSA
Keyword(s):  
Data Visualization ◽  
Data Model ◽  
Linked Data ◽  
Digital Data ◽  
The Past ◽  
Making Sense ◽  
The Future ◽  
History Of ◽  
Future Direction

Abstract The PeriodO project seeks to fill a gap in the landscape of digital antiquity through the creation of a Linked Data gazetteer of period definitions that transparently record the spatial and temporal boundaries assigned to a given period by an authoritative source. Our presentation of the PeriodO gazetteer is prefaced by a history of the role of periodization in the study of the past, and an analysis of the difficulties created by the use of periods for both digital data visualization and integration. This is followed by an overview of the PeriodO data model, a description of the platform's architecture, and a discussion of the future direction of the project.

Modellierung und Ontologien im Wissensmanagement / Modeling and Ontologies in Knowledge Management / Modélisation et ontologies dans la gestion des connaissances

2013 ◽  
Vol 64 (2-3) ◽  
Author(s):  
Stefan Gradmann ◽  
Julia Iwanowa ◽  
Evelyn Dröge ◽  
Steffen Hennicke ◽  
Violeta Trkulja ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Data Model ◽  
Linked Data

Im Artikel werden laufende Arbeiten und Ergebnisse der Forschergruppe Wissensmanagement beschrieben. Diese entstanden vor allem durch die am Lehrstuhl Wissensmanagement angesiedelten Projekte Europeana v2.0, Digitised Manuscripts to Europeana (DM2E) sowie von Teilprojekten des vor kurzem gestarteten DFG-Exzellenzclusters Bild Wissen Gestaltung. Die Projekte befassen sich mit Spezialisierungen des Europeana Data Model, der Umwandlung von Metadaten in RDF und der automatisierten und nutzerbasierten semantischen Anreicherung dieser Daten auf Basis eigens entwickelter oder modifizierter Anwendungen sowie der Modellierung von Forschungsaktivitäten, welche derzeit auf die digitale Geisteswissenschaft zugeschnitten ist. Allen Projekten gemeinsam ist die konzeptionelle oder technische Modellierung von Informationsentitäten oder Nutzeraktivitäten, welche am Ende im Linked Data Web repräsentiert werden.

scholarly journals Improving (Re-) Usability of Musical Datasets: An Overview of the DOREMUS Project

2018 ◽  
Vol 42 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Pasquale Lisena ◽  
Manel Achichi ◽  
Pierre Choffé ◽  
Cécile Cecconi ◽  
Konstantin Todorov ◽  
...  
Keyword(s):  
Data Model ◽  
Linked Data ◽  
Model Based ◽  
The Web

Abstract DOREMUS works on a better description of music by building new tools to link and explore the data of three French institutions. This paper gives an overview of the data model based on FRBRoo explaining the conversion and linking processes using linked data technologies and presenting the prototypes created to consume the data according to the web users’ needs.

scholarly journals A Linked Data Model for Multimodal Sentiment and Emotion Analysis

2015 ◽  
Author(s):  
J. Fernando Sánchez-Rada ◽  
Carlos A. Iglesias ◽  
Ronald Gil
Keyword(s):  
Data Model ◽  
Linked Data ◽  
Emotion Analysis

scholarly journals Efficiently Processing and Storing Library Linked Data using Apache Spark and Parquet

2018 ◽  
Vol 37 (3) ◽  
pp. 29-49
Author(s):  
Kumar Sharma ◽  
Ujjal Marjit ◽  
Utpal Biswas
Keyword(s):  
Large Volume ◽  
Data Model ◽  
Experimental Evaluation ◽  
Linked Data ◽  
Storage Systems ◽  
Storage System ◽  
File Systems ◽  
Large Data ◽  
Apache Spark ◽  
Rdf Data

Resource Description Framework (RDF) is a commonly used data model in the Semantic Web environment. Libraries and various other communities have been using the RDF data model to store valuable data after it is extracted from traditional storage systems. However, because of the large volume of the data, processing and storing it is becoming a nightmare for traditional data-management tools. This challenge demands a scalable and distributed system that can manage data in parallel. In this article, a distributed solution is proposed for efficiently processing and storing the large volume of library linked data stored in traditional storage systems. Apache Spark is used for parallel processing of large data sets and a column-oriented schema is proposed for storing RDF data. The storage system is built on top of Hadoop Distributed File Systems (HDFS) and uses the Apache Parquet format to store data in a compressed form. The experimental evaluation showed that storage requirements were reduced significantly as compared to Jena TDB, Sesame, RDF/XML, and N-Triples file formats. SPARQL queries are processed using Spark SQL to query the compressed data. The experimental evaluation showed a good query response time, which significantly reduces as the number of worker nodes increases.

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 PROPOSTA DE INTEGRAÇÃO DE RECURSOS DO PATRIMÔNIO CULTURAL CIENTÍFICO NO MODELO EDM

BIBLOS ◽  
2020 ◽  
Vol 34 (2) ◽  
Author(s):  
Cláudio Jose S. Ribeiro ◽  
Alexandre Medeiros Correia de Sousa ◽  
Maria Manuel Borges
Keyword(s):  
Data Model ◽  
Linked Data

As instituições que lidam com a curadoria do patrimônio cultural têm o desafio de organizar as informações do campo em que estão inseridas e englobando questões sobre interoperabilidade de dados na internet. O uso das tecnologias da Web Semântica e dos princípios Linked Data tem sido apontado como facilitador para interligar dados e recursos oriundos de diferentes acervos e procedências a partir do momento em que possibilita que se estabeleçam metadados de ligações semânticas em contextos específicos. Neste ensaio propomos um estudo de caso sobre formas de integração de bens documentais do Patrimônio Cultural Científico, tomando por base a modelagem de descrição de recursos Europeana Data Model (EDM) e a possibilidade do reuso de metadados já estabelecidas por vocabulários semânticos. Dessa forma, buscamos verificar como esta abordagem pode contribuir para o desenvolvimento de uma rede de dados em campos mais específicos do patrimônio cultural mais específicos.

Thesaurus and subject heading lists as Linked Data

2021 ◽  
Vol 33 ◽  
Author(s):  
Everton Rodrigues Barbosa ◽  
Moisés Lima Dutra ◽  
Angel Freddy Godoy Viera ◽  
Douglas Dyllon Jeronimo de Macedo
Keyword(s):  
Data Model ◽  
Linked Data ◽  
Open Data ◽  
Controlled Vocabulary ◽  
Conversion Process ◽  
Controlled Vocabularies ◽  
Knowledge Organization Systems ◽  
Subject Headings ◽  
Data Environment ◽  
Type Of Institution

Abstract Most libraries put a lot of effort into developing subject headings or thesauri, which are used to index and retrieve information. Nevertheless, in the library field, controlled vocabularies are associated to authority records as authority files. In order to become findable by search engines, these authority files should be modelled on semantic vocabularies. This research proposes an authority-record conversion process for publishing thesauri and subject headings as linked data, by using the Simple Knowledge Organization Systems data model. To this purpose, we undertook a bibliographic and documentary research on the World Wide Web Consortium recommendation guidelines, which were used to produce a set of procedures and technologies to support the conversion proposal. This research provides evidences that controlled vocabularies are an important resource for improving information retrieval on the web. The proposed conversion process works as a quick guide for controlled vocabulary integration and reuse among users and systems on the linked data environment. Although the proposal was originally intended for a library setting, it can be applied and tested in another type of institution, such as documentation centres, museums, or cultural heritage archives. It can also be used in other linked open data projects.

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