A Knowledge Graph Approach for Exploratory Search in Research Institutions

Tim Schopf; Nektarios Machner; Florian Matthes

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Paper

A Knowledge Graph Approach for Exploratory Search in Research Institutions

Topics: Information Technology and Information System Research; Knowledge Management Projects; Tools and Technologies for Knowledge Management

In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: , 265-270, 2023 , Rome, Italy

Authors: Tim Schopf ; Nektarios Machner and Florian Matthes

Affiliation: Department of Computer Science, Technical University of Munich, Germany

Keyword(s): Knowledge Graphs, Exploratory Search.

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.

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Paper citation in several formats:

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 - KMIS; ISBN 978-989-758-671-2; ISSN 2184-3228, SciTePress, pages 265-270. DOI: 10.5220/0012223800003598

@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 - KMIS},
year={2023},
pages={265-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012223800003598},
isbn={978-989-758-671-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS
TI - A Knowledge Graph Approach for Exploratory Search in Research Institutions
SN - 978-989-758-671-2
IS - 2184-3228
AU - Schopf, T.
AU - Machner, N.
AU - Matthes, F.
PY - 2023
SP - 265
EP - 270
DO - 10.5220/0012223800003598
PB - SciTePress