A Knowledge Graph Approach for Exploratory Search in Research Institutions
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.
| Attribute | Value |
|---|---|
| Address | Rome, Italy |
| Authors | Tim Schopf , Nektarios Machner , Prof. Dr. Florian Matthes |
| Citation | @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}, } |
| Key | Sc23f |
| Research project | Research Institution Knowledge Graph (RIKG) |
| Title | A Knowledge Graph Approach for Exploratory Search in Research Institutions |
| Type of publication | Conference |
| Year | 2023 |
| Publication URL | https://doi.org/10.5220/0012223800003598 |
| Project | Research Institution Knowledge Graph (RIKG) |
| Acronym | |
| Team members |