A Knowledge Graph Approach for Exploratory Search in Research Institutions

Tim Schopf, Nektarios Machner, Florian Matthes

2023

Abstract

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.

Paper Citation

in Harvard Style

Schopf T., Machner N. and Matthes F. (2023). A Knowledge Graph Approach for Exploratory Search in Research Institutions. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-671-2, SciTePress, pages 265-270. DOI: 10.5220/0012223800003598

in Bibtex Style

@conference{kmis23,
author={Tim Schopf and Nektarios Machner and Florian Matthes},
title={A Knowledge Graph Approach for Exploratory Search in Research Institutions},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2023},
pages={265-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012223800003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - A Knowledge Graph Approach for Exploratory Search in Research Institutions
SN - 978-989-758-671-2
AU - Schopf T.
AU - Machner N.
AU - Matthes F.
PY - 2023
SP - 265
EP - 270
DO - 10.5220/0012223800003598
PB - SciTePress