scholarly journals Collaborative Research on Academic History using Linked Open Data: A Proposal for the Heloise Common Research Model

2016 ◽  
Vol 19 ◽  
pp. 133 ◽  
Author(s):  
Francesco Beretta ◽  
Thomas Riechert
Keyword(s):  
Open Data ◽  
Interface Layer ◽  
Research Network ◽  
Research Model ◽  
Data Interoperability ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Academic History ◽  
La Red ◽  
Datos Abiertos

Abstract: The paper presents a proposal for the Heloise Common Research Model (HCRM), to be implemented for the European research network on digital academic history – Heloise. The objective of Heloise is to interlink databases and other digital resources stemming from several research projects in the field of academic history, to provide an integrated database for federated research on the network databases. The HCRM defines three layers: the Repository Layer, the Application Layer and the Research Interface Layer, which are presented in detail. As part of the application and research interface layer, essential concepts are the symogih.org ontology and a Heloise network-specific thesaurus. The concepts have been tested on a sample of Heloise network’s datasets as a part of a prototype of the envisaged platform that the authors have started implementing. The paper concludes with future developments to be accomplished within the Heloise network.Keywords: academic history, domain ontologies, data interoperability, semantic web technologies, linked open data.Investigación colaborativa sobre la historia académica a través de los datos abiertos enlazados: una propuesta para el modelo de investigación común de HéloïseResumen: El artículo presenta una propuesta para el modelo de investigación común de Héloïse (HCRM en sus siglas en inglés) para su implementación por la red de investigación europea sobre la historia académica digital – Héloïse. El objetivo de Héloïse es interconectar las bases de datos y otros recursos digitales que pertenecen a varios proyectos de investigación en el campo de la historia académica con el fin de ofrecer una base de datos integrada para la investigación federada sobre las bases de datos de la Red. El HCRM define tres niveles: el nivel del repositorio, el nivel de la aplicación y el nivel de la interfaz de la investigación que se explican de forma detallada. Como parte del nivel de la interfaz de la investigación, la ontología symogih.org y un diccionario de sinónimos para la red Héloïse constituyen conceptos fundamentales. Los conceptos han sido probados sobre una muestra de datos de la red Héloïse como parte de un prototipo de la plataforma que los autores han empezado a desarrollar. El artículo concluye con propuestas de futuro desarrollo a realizar dentro del marco de la red Héloïse.Palabras clave: historia académica, ontologías de dominio, interoperabilidad de datos, tecnologías de web semántica, datos abiertos enlazados    

Enabling the Matchmaking of Organizations and Public Procurement Notices by Means of Linked Open Data

2013 ◽  
pp. 105-131 ◽  
Author(s):  
Jose María Alvarez Rodríguez ◽  
José Emilio Labra Gayo ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Specific Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Domain Specific ◽  
The Status ◽  
Financial Transactions

The aim of this chapter is to present a proposal and a case study to describe the information about organizations in a standard way using the Linked Data approach. Several models and ontologies have been provided in order to formalize the data, structure and behaviour of organizations. Nevertheless, these tries have not been fully accepted due to some factors: (1) missing pieces to define the status of the organization; (2) tangled parts to specify the structure (concepts and relations) between the elements of the organization; 3) lack of text properties, and other factors. These divergences imply a set of incomplete approaches to formalize data and information about organizations. Taking into account the current trends of applying semantic web technologies and linked data to formalize, aggregate, and share domain specific information, a new model for organizations taking advantage of these initiatives is required in order to overcome existing barriers and exploit the corporate information in a standard way. This work is especially relevant in some senses to: (1) unify existing models to provide a common specification; (2) apply semantic web technologies and the Linked Data approach; (3) provide access to the information via standard protocols, and (4) offer new services that can exploit this information to trace the evolution and behaviour of the organization over time. Finally, this work is interesting to improve the clarity and transparency of some scenarios in which organizations play a key role, like e-procurement, e-health, or financial transactions.

scholarly journals OpenCitations, an infrastructure organization for open scholarship

2020 ◽  
Vol 1 (1) ◽  
pp. 428-444 ◽  
Author(s):  
Silvio Peroni ◽  
David Shotton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Open Data ◽  
Data Sets ◽  
Citation Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Creative Commons ◽  
Citation Indexes ◽  
Description Framework

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.

Establishing sustainable and scalable workflows for cataloging and metadata services

2016 ◽  
Vol 37 (6/7) ◽  
pp. 308-316 ◽  
Author(s):  
Myung-Ja K. Han
Keyword(s):  
Information Technologies ◽  
Soft Skills ◽  
Open Data ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Research Libraries ◽  
Web Technologies ◽  
New Information ◽  
Metadata Standards ◽  
Library Collections

Purpose Academic and research libraries have been experiencing a lot of changes over the last two decades. The users have become technology savvy and want to discover and use library collections via web portals instead of coming to library gateways. To meet these rapidly changing users’ needs, academic and research libraries are busy identifying new service models and areas of improvement. Cataloging and metadata services units in academic and research libraries are no exception. As discovery of library collections largely depends on the quality and design of metadata, cataloging and metadata services units must identify new areas of work and establish new roles by building sustainable workflows that utilize available metadata technologies. The paper aims to discuss these issues. Design/methodology/approach This paper discusses a list of challenges that academic libraries’ cataloging and metadata services units have encountered over the years, and ways to build sustainable workflows, including collaborations between units in and outside of the institution, and in the cloud; tools, technologies, metadata standards and semantic web technologies; and most importantly, exploration and research. The paper also includes examples and uses cases of both traditional metadata workflows and experimentation with linked open data that were built upon metadata technologies and will ultimately support emerging user needs. Findings To develop sustainable and scalable workflows that meet users’ changing needs, cataloging and metadata professionals need not only to work with new information technologies, but must also be equipped with soft skills and in-depth professional knowledge. Originality/value This paper discusses how cataloging and metadata services units have been exploiting information technologies and creating new scalable workflows to adapt to these changes, and what is required to establish and maintain these workflows.

scholarly journals Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

2020 ◽  
Vol 39 (3) ◽  
pp. 595-602
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Open Data ◽  
Knowledge Bases ◽  
Semantic Search ◽  
Semantic Web Technologies ◽  
Data Format ◽  
Web Technologies ◽  
Cross Domain ◽  
Description Framework

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

Applications, Methodologies, and Technologies for Linked Open Data

2020 ◽  
Vol 16 (3) ◽  
pp. 53-69
Author(s):  
Cecilia Avila-Garzon
Keyword(s):  
Semantic Web ◽  
Open Data ◽  
Linked Open Data ◽  
Business Culture ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Wide Range ◽  
Research And Education ◽  
User Friendly ◽  
Culture Education

Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.

scholarly journals A Semantic-Enabled Platform for Realizing an Interoperable Web of Things

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 869 ◽  
Author(s):  
Jorge Lanza ◽  
Luis Sánchez ◽  
David Gómez ◽  
Juan Ramón Santana ◽  
Pablo Sotres
Keyword(s):  
Service Providers ◽  
Market Potential ◽  
Data Interoperability ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Cross Domain ◽  
Vertical Data ◽  
Cross Platform ◽  
Iot Devices ◽  
The Internet Of Things

Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services and applications. This paper presents a platform that has been implemented for realizing this vision. It leverages semantic web technologies to address the two key challenges in expanding the IoT beyond product silos into web-scale open ecosystems: data interoperability and resources identification and discovery. The paper provides extensive description of the proposed solution and its implementation details. Regarding the implementation details, it is important to highlight that the platform described in this paper is currently supporting the federation of eleven IoT deployments (from heterogeneous application domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.

scholarly journals Collection, Processing and Storage of Bibliographic Records using Semantic Web Technologies

2015 ◽  
pp. 37-42 ◽  
Author(s):  
O. N. Shorin
Keyword(s):  
High Performance ◽  
Open Data ◽  
Semantic Integration ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Bibliographic Records ◽  
Storage Solutions ◽  
Processing And Storage ◽  
And Storage ◽  
Different Sources

Implementation of the project on semantic integration of bibliographic records has allowed to solve urgent problems: there is developed domain ontology and created modules of interaction with a variety of automated library information systems; bibliographic records converted from different formats into RDF, enriched using the information obtained from different sources, and released in accordance with the principles of Linked Open Data. Hand-ling one of the world’s largest arrays of bibliographic records required utilization of highly specialized protocols of access to information, high-performance processing algorithms and scalable storage solutions.

scholarly journals Web semántica y su aporte a la estrategia de datos abiertos del Estado Colombiano -Semantic Web and its contribution to the strategy of Colombian State open data

2016 ◽  
Vol 3 (23) ◽  
pp. 124
Author(s):  
José Nelson Pérez-Castillo ◽  
María Fernanda Díaz-Hernández ◽  
Nubia Rincón-Mosquera
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Information And Communication Technologies ◽  
World Wide ◽  
Open Data ◽  
Semantic Networks ◽  
Data Sets ◽  
Analysis And Design ◽  
La Red ◽  
Datos Abiertos

Una de las grandes oportunidades que se plantea en el desarrollo actual de las Tecnologías de la Información y la Comunicación (TIC), es la construcción de una Web Semántica en el país que haga aportes a la Estrategia de Datos Abiertos del Estado Colombiano. La apertura de datos en Colombia ha sido establecida en el Decreto 2573 de 2014 e implementada mediante una Guía para la Apertura de Datos a todos los niveles de la administración pública. En el país el decreto garantiza la libre adopción de tecnologías y recomendaciones internacionales, dando la oportunidad a los desarrolladores de software de adoptar una de las más importantes orientaciones de la W3C (World Wide Web Consortium), cual es la de usar e implementar una red “inteligente” que pueda vincular diversos conjuntos de datos de una forma significativa. Se piensa que sin esta novedosa implementación, el esfuerzo gubernamental por aprovechar el gran potencial de los datos abiertos puede quedar a medio camino, quedando la información disponible  en la red tradicional, de una manera estática y centralizada, con el consiguiente riesgo de convertirse en un nuevo silo de datos, o que éstos no sean aprovechados con todas las ventajas de crecimiento y beneficio que la unión entre los dos conceptos: web semántica y datos abiertos podrían aportar. A continuación se presenta un panorama de ventajas relacionadas con la construcción de la Web Semántica en el país para apoyar completamente la estrategia estatal mediante la vinculación significativa de conjuntos de datos abiertos. Concluyendo que se deben establecer unos centros de investigación para el análisis y diseño de redes semánticas con ontologías para ser parte de  los esfuerzos globales hacia la apertura de datos. Semantic Web and its contribution to the strategy of Colombian State open dataAbstractOne of the great opportunities that arise in the current Information and Communication Technologies (ICT) development, is the construction of a Semantic Web in the country to make contributions to the strategy of the Colombian State Open Data. The open data in Colombia has been established in Decree 2573 of 2014 and implemented through a Guide to Open Data at all levels of public administration. In the country the decree ensures the free adoption of technologies and international recommendations, providing an opportunity for software developers to adopt one of the most important guidelines of the W3C (World Wide Web Consortium), which is to use and implement a smart network that can link various datasets in a meaningful way. We think that without this new implementation, the government's effort to harness the great potential of open data can be halfway, leaving the information available in the traditional network, a static, centralized, with the risk of becoming a new silo of data, or that they are not exploited all the benefits of growth and profit that the connection between the two concepts: semantic web and open data could provide. This document provides an overview of benefits related to the construction of the Semantic Web in the country to fully support the state strategy by significantly linking open data sets. Concluding that it should establish research centers for analysis and design of ontologies for semantic networks to be part of global efforts to the open data.ResumoUma das grandes oportunidades que surgem no desenvolvimento atual das Tecnologias da Informação e a Comunicaçao (TIC), é a contrução de uma web semântica no país que faça contribuições para a estratégia de dados abertos do governo colombiano. A abertura de dados na Colômbia foi estabelecida no Decreto 2573 de 2014 e implementada mediante uma guia para a abertura dos dados a todos os níveis da administração pública. No país, o decreto garante a livre adoção de tecnologias e recomendações internacionais, proporcionando uma oportunidade aos desenvolvedores de software para adotar uma das diretrizes mais importantes da W3C (World Wide Web Consortium), que é usar e implementar uma rede inteligente que possa vincular diferentes conjuntos de dados de uma forma significativa. Pensa-se que sem esta nova aplicação o esforço do governo para aproveitar o grande potencial dos dados abertos pode ficar a meio caminho, deixando a informação disponível na rede tradicional de uma manera estática e centralizada, com o risco de se tornar um novo silo dados, ou que eles não sejam aproveitados com todas as vantagens de crescimento e benefício que a conexão entre os dois conceitos (web semântica e de dados abertos) poderia proporcionar. O que se segue é uma visão geral das vantagens relacionadas com a construção da web semântica no país para apoiar plenamente a estratégia estatal mediante à vinculação significativa de conjuntos de dados abertos. Concluindo que se devem estabelecer centros de pesquisa para a análise e desenho de redes semânticas com ontologias para ser parte dos esforços globais focados à abertura de dados.

scholarly journals Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1747 ◽  
Author(s):  
Cong Peng ◽  
Prashant Goswami
Keyword(s):  
Home Environment ◽  
Open Data ◽  
Health Data ◽  
Self Management ◽  
Formal Ontology ◽  
Data Interoperability ◽  
Semantic Web Technologies ◽  
Ontology Language ◽  
Integration Architecture ◽  
Hl7 Fhir

The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.

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