A Knowledge Graph Approach for Exploratory Search in Research Institutions

Fuente: arXiv
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Autores principales: Schopf, Tim, Machner, Nektarios, Matthes, Florian
Formato: Preprint
Publicado: 2023
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author Schopf, Tim
Machner, Nektarios
Matthes, Florian
author_facet Schopf, Tim
Machner, Nektarios
Matthes, Florian
contents Over the past decades, research institutions have grown increasingly and consequently also their research output. This poses a significant challenge for researchers seeking to understand the research landscape of an institution. The process of exploring the research landscape of institutions has a vague information need, no precise goal, and is open-ended. Current applications are not designed to fulfill the requirements for exploratory search in research institutions. In this paper, we analyze exploratory search in research institutions and propose a knowledge graph-based approach to enhance this process.
format Preprint
id arxiv_https___arxiv_org_abs_2311_15688
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Knowledge Graph Approach for Exploratory Search in Research Institutions
Schopf, Tim
Machner, Nektarios
Matthes, Florian
Digital Libraries
Over the past decades, research institutions have grown increasingly and consequently also their research output. This poses a significant challenge for researchers seeking to understand the research landscape of an institution. The process of exploring the research landscape of institutions has a vague information need, no precise goal, and is open-ended. Current applications are not designed to fulfill the requirements for exploratory search in research institutions. In this paper, we analyze exploratory search in research institutions and propose a knowledge graph-based approach to enhance this process.
title A Knowledge Graph Approach for Exploratory Search in Research Institutions
topic Digital Libraries
url https://arxiv.org/abs/2311.15688