REDI: A Linked Data-Powered Research Networking Platform

Sumba, Xavier; Segarra, José Ignacio Ortíz; Villazón-Terrazas, Boris; Espinoza, Mauricio; Saquicela, Víctor

doi:10.1007/978-3-319-98192-5_23

Cited by 3 publications

(1 citation statement)

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“…In this section, we describe the overall operation of REDI including its focus, main components and workflows. REDI is built on top of the Apache Marmotta platform in order to facilitate its support for Linked Data and Semantic Web standards [16]. Moreover, all its components have been designed to work independently as collaborative modules that coexist together in the Marmotta environment.…”

Section: Redi Architecturementioning

confidence: 99%

REDI: Towards knowledge graph-powered scholarly information management and research networking

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Segarra

Villazón-Terrazas

et al. 2020

Journal of Information Science

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Academic data management has become an increasingly challenging task as research evolves over time. Essential tasks such as information retrieval and research networking have turned into extremely difficult operations due to an ever-growing number of researchers and scientific articles. Numerous initiatives have emerged in the IT environments to address this issue, especially focused on web technologies. Although those approaches have individually provided solutions for diverse problems, they still can not offer integrated knowledge bases nor flexibility to exploit adequately this information. In this article, we present REDI, a Linked Data-powered framework for academic knowledge management and research networking, which introduces a new perspective of integration. REDI combines information from multiple sources into a consolidated knowledge base through state-of-the-art procedures and leverages semantic web standards to represent the information. Moreover, REDI takes advantage of such knowledge for data visualisation and analysis, which ultimately improves and simplifies many activities including research networking.

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Section: Redi Architecturementioning

confidence: 99%