Natural language-based user guidance for knowledge graph exploration: a user study
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Author (Corporation)
Publication date
2021
Typ of student thesis
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Collections
Type
04B - Conference paper
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Parent work
Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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DOI of the original publication
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Series number
Volume
1
Issue / Number
Pages / Duration
95-102
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Publisher / Publishing institution
SciTePress
Place of publication / Event location
Setúbal
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Abstract
Large knowledge graphs hold the promise of helping knowledge workers in their tasks by answering simple and complex questions in specialised domains. However, searching and exploring knowledge graphs in current practice still requires knowledge of certain query languages such as SPARQL or Cypher, which many untrained end users do not possess. Approaches for more user-friendly exploration have been proposed and range from natural language querying over visual cues up to query-by-example mechanisms, often enhanced with recommendation mechanisms offering guidance. We observe, however, a lack of user studies indicating which of these approaches lead to a better user experience and optimal exploration outcomes. In this work, we make a step towards closing this gap by conducting a qualitative user study with a system that relies on formulating queries in natural language and providing answers in the form of subgraph visualisations. Our system is able to offer guidance via query recommendations based on a current context. The user study evaluates the impact of this guidance in terms of both efficiency and effectiveness (recall) of user sessions. We find that both aspects are improved, especially since query recommendations provide inspiration, leading to a larger number of insights discovered in roughly the same time.
Keywords
Subject (DDC)
330 - Wirtschaft
Event
13th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2021)
Exhibition start date
Exhibition end date
Conference start date
25.10.2021
Conference end date
27.10.2021
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ISBN
978-989-758-533-3
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Closed
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Citation
WITSCHEL, Hans Friedrich, Kaspar RIESEN und Loris GRETHER, 2021. Natural language-based user guidance for knowledge graph exploration: a user study. In: Rita CUCCHIARA, Ana FRED und Joaquim FILIPE (Hrsg.), Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Setúbal: SciTePress. 2021. S. 95–102. ISBN 978-989-758-533-3. Verfügbar unter: https://irf.fhnw.ch/handle/11654/43072