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A Knowledge Graph Approach for Exploratory Search in Research Institutions

Year: 2023

Type: conference-paper

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.

Source: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

DOI: 10.5220/0012223800003598

Authors: Tim Schopf, Nektarios Machner, Florian Matthes

Institution: Technical University of Munich

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4388860717

FWCI:

Cites: 11

Cited by:

Related to: 10