Visualizing the Information of a Linked Open Data Enabled Research Information System

Dimou, Anastasia; Vocht, Laurens De; Grootel, Geert Van; Campe, Leen Van; Latour, Jeroen; Mannens, Erik; Walle, Rik Van de

doi:10.1016/j.procs.2014.06.039

Cited by 13 publications

(5 citation statements)

References 3 publications

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“…These services can assist in reducing the administrative burden accompanying research reporting and open avenues for developing master data webservices on concepts like organizations, journals, persons, projects,… that are being standardized within FRIS 2.0. Other possibilities include improved knowledge discovery via the FRIS research portal which could act on the long term even as a linked open data store (Dimou, A. et al, 2014).…”

Section: Figure 5: Alignment Of the Institution-specific Models With mentioning

confidence: 99%

On research information and classification governance in an inter-organizational context: the Flanders Research Information Space

Vancauwenbergh

Leenheer²,

Grootel

2016

Scientometrics

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In a knowledge-based economy, a good overview of the scientific and technological portfolio is essential for policy formation and driving knowledge transfer to the industry and the broad public. In order to enhance open innovation, the Flemish public administration has created a Flanders research information portal that integrates information available from its data providers (research institutions, funding organizations…) using the Common European Research Information Format standard. Although this standard allows for almost unlimited flexibility for modelling the research information, it has limitations when it comes down to communication to end-users, in terms of semantics. However, interoperability of research information is only meaningful when a well-defined semantics is used and hence acts as a leverage for comparability of the information provided on the portal, including its derived services offered to the research community, researchdriven organizations and policy makers. This paper describes the implementation of a business semantics tool that governs the meaning of the data concepts and classifications used for research information, in particular research funding, as a means to unambiguously exchange and interpret research data.

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Section: Figure 5: Alignment Of the Institution-specific Models With mentioning

confidence: 99%

On research information and classification governance in an inter-organizational context: the Flanders Research Information Space

Vancauwenbergh

Leenheer²,

Grootel

2016

Scientometrics

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“…On the one hand, bibliographic datasets have been largely utilised for post-hoc studies, such as scientometrics, in quantitative analyses of publications, citations, or authors [3], [4]. On the other hand, recommender systems developed for scientific publications either focus on recommending research papers [5], [6], or on suggesting academic venues, utilising the title or abstract of a paper [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

GraphConfRec: A Graph Neural Network-Based Conference Recommender System

Iana

Paulheim

2021

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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In today's academic publishing model, especially in Computer Science, conferences commonly constitute the main platforms for releasing the latest peer-reviewed advancements in their respective fields. However, choosing a suitable academic venue for publishing one's research can represent a challenging task considering the plethora of available conferences, particularly for those at the start of their academic careers, or for those seeking to publish outside of their usual domain. In this paper, we propose GraphConfRec, a conference recommender system which combines SciGraph and graph neural networks, to infer suggestions based not only on title and abstract, but also on coauthorship and citation relationships. GraphConfRec achieves a recall@10 of up to 0.580 and a MAP of up to 0.336 with a graph attention network-based recommendation model. A user study with 25 subjects supports the positive results.

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“…Dimou et al (2014) presents a use case of publishing research metadata as linked open data and creating interactive visualizations to support users in analyzing data in a research context. However, the data provided in open access are not in a standardized format and arises the need to adapt the code to specific data sources to accommodate variations in raw data formats, access details so that the end users can avoid repetitive programming tasks and save time allowing simplification, standardization, and automation of analysis workflows facilitating reproducibility, code sharing, and efficient data analytics.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)

2018

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Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) is an excellent forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges. Keywords: Big Data sources, Web scraping Social media mining, Official Statistics, Internet Econometrics, Digital transformation, global society. 2nd International Conference on Advanced Research Methods and Analytics (CARMA2018)Universitat Politècnica de València, València, 2018 This work is licensed under a Creative Commons License CC BY-NC-ND 4.0 Editorial Universitat Politècnica de València I Preface Preface to CARMA2018This volume contains the selected papers of the Second International Conference on Advanced Research Methods and Analytics (CARMA 2018) hosted by the Universitat Politècnica de València, Spain during 12 and 13 July 2018. This second edition consolidated CARMA as a unique forum where Economics and Social Sciences research meets Internet and Big Data. CARMA provided researchers and practitioners with an ideal environment to exchange ideas and advances on how Internet and Big Data sources and methods contribute to overcome challenges in Economics and Social Sciences, as well as on the changes in the society because of the digital transformation.The selection of the scientific program was directed by Maria Rosalia Vicente, who led an international team of 33 scientific committee members representing 28 institutions. Following the call for papers, the conference received 73 paper submissions from all around the globe. All submissions were reviewed by the scientific committee members under a double blind review process. Finally, 40 papers were accepted for oral presentation during the conference. This represents an overall paper acceptance rate of 54%, ensuring a high quality scientific program. It covers a wide range of research topics in Internet and Big Data, including nowcasting people mobility and economic indicators, applications of Big Data methods in retail and finance, using search and social media data, among others.CARMA 2018 also featured two special sessions on "Big Data for Central Banks" and "Using Big Data in Official Statistics," chaired by Juri Marcucci and Gian Luigi Mazzi, respectively. Both sessions gave a complementary institutional perspective on how to use Internet and Big Data sources and methods for public policy and official statistics. The perspective from the private sector was contributed by Norbert Wirth, who talked about "Data Science development at scale" in his keynote speech. Organizing Committee General chairJosep Domènech, Universitat Politècnica de València Scientific committee chairMaría Rosalía Vicente, Universidad ...

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Visualizing the Information of a Linked Open Data Enabled Research Information System

Cited by 13 publications

References 3 publications

On research information and classification governance in an inter-organizational context: the Flanders Research Information Space

On research information and classification governance in an inter-organizational context: the Flanders Research Information Space

GraphConfRec: A Graph Neural Network-Based Conference Recommender System

Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)

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