The evolution of the Web and implications for eResearch

Hall, Wendy; Roure, David De; Shadbolt, Nigel

doi:10.1098/rsta.2008.0252

Cited by 25 publications

(18 citation statements)

References 21 publications

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“…The large amount of information in the Web paves new ways for doing data analysis [16]. Web Science [6] emerges as a new research field that views the Web as a source of data to be analysed with relevance in diverse fields.…”

Section: Introductionmentioning

confidence: 99%

Open Linked Data Model Revelation and Access for Analytical Web Science

Dodero

Ruiz-Rube

Palomo-Duarte

et al. 2011

Metadata and Semantic Research

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Abstract. The extension of regular web applications with linked data and the provision of specific web services to exploit their datasets is still a challenge. In this paper we describe a method to generate linked data and reveal them in a controlled manner for open source web applications. Revelation is carried out either at the controller or the model components of web applications that are based in the model-view-controller architecture. The approach facilitates the definition of access control policies and other non-functional requirements on the application objects and services, as well as the mapping of the application model to standard RDF schemata and vocabularies.

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Section: Introductionmentioning

confidence: 99%

Open Linked Data Model Revelation and Access for Analytical Web Science

Dodero

Ruiz-Rube

Palomo-Duarte

et al. 2011

Metadata and Semantic Research

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“…Su propio éxito les ha forzado a experimentar con nuevas e innovadoras tecnologías (Gul, Shah, & Nisa, 2014;Hall, De Roure, & Shadbolt, 2009). Cada vez más las agencias patrocinadoras, como la Comisión Europea, exigen, además de las actividades de divulgación, publicaciones de acceso abierto.…”

Section: Introducción Y Estado De La Cuestiónunclassified

Redes sociales en línea como canal de comunicación de las revistas académicas abiertas

Ureña¹,

Herrera-Murillo²

2017

RLCS

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El conocimiento científico es esencial para el desarrollo. Las revistas de acceso abierto y las redes sociales en línea (RS) tienen el potencial de facilitar su acceso. Esta investigación tuvo por objetivo analizar en qué medida las revistas de acceso abierto están usando las RS como canales de comunicación. Metodología: de naturaleza cuantitativa, se utilizó el concepto de métodos digitales para analizar 3,448 revistas abiertas indizadas en Scopus. Resultados y conclusiones: A) el 14.4% de las revistas tienen un perfil propio de redes sociales vinculada a su sitio Web oficial; B) hay una diferencia significativa en la tenencia de perfiles de redes sociales y volumen de seguidores sociales de las revistas de primer cuartil (Q1) en comparación al resto de las revistas. Esto permite reconocer un área de oportunidad en el uso de las RS y las revistas de acceso abierto, como herramientas facilitadoras del conocimiento científico.

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“…Despite the possibly overwhelming data deluge in some disciplines, modern research practices are evolving with the adoption of enabling e-Research/e-Science technologies to improve previous research methodologies and/or research processes. Such research efforts include adopting developments made by the Semantic Web and Knowledge Representation (KR) communities to resolve ''data deluge'' or big-data problems [5,6]. Implementations of semantic technologies within e-Research are prevalent in the Medical and Life Science disciplines, but are still emerging in the Earth and Ecological Sciences [5].…”

Section: Introductionmentioning

confidence: 99%

Eco-informatics modelling via semantic inference

Myers

Atkinson

2013

Information Systems

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a b s t r a c tThere is a demand for new and evolved research practices resulting from the so called ''data deluge'' emerging from high volume digital collection methods. As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage. This paper presents the ''Semantic Reef'' architecture that offers an alternative approach to the development, application and execution of observational hypotheses involving studies of coral reef ecosystems. The Semantic Reef Knowledge Representation system is an eco-informatics application designed to assist in the integration of remotely sensed data streams and historic data sets supporting flexible hypothesis design and knowledge extraction. The system is an ontology-based architecture built to allow researchers to combine disjoint data sets into a single Knowledge Base for modelling the impact of climate change on coral reef ecosystems. The Knowledge Base consists of a hierarchy of ontologies developed to maximise usability and reusability by separating data instances from the concept descriptions. The model can be effectively reused to extract or disclose phenomena of any coral reef. This paper both demonstrates and describes a performance analysis of the Semantic Reef knowledge system.

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The evolution of the Web and implications for eResearch

Cited by 25 publications

References 21 publications

Open Linked Data Model Revelation and Access for Analytical Web Science

Open Linked Data Model Revelation and Access for Analytical Web Science

Redes sociales en línea como canal de comunicación de las revistas académicas abiertas

Eco-informatics modelling via semantic inference

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