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KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources
Exploring a knowledge base is often an iterative process: initially vague information needs are refined by interaction. We propose a novel approach for such interaction that supports sequential question answering (SQA) on knowledge graphs. As opposed to previous work, we focus on exploratory setting...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148211/ http://dx.doi.org/10.1007/978-3-030-45439-5_50 |
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author | Witschel, Hans Friedrich Riesen, Kaspar Grether, Loris |
author_facet | Witschel, Hans Friedrich Riesen, Kaspar Grether, Loris |
author_sort | Witschel, Hans Friedrich |
collection | PubMed |
description | Exploring a knowledge base is often an iterative process: initially vague information needs are refined by interaction. We propose a novel approach for such interaction that supports sequential question answering (SQA) on knowledge graphs. As opposed to previous work, we focus on exploratory settings, which we support with a visual representation of graph structures, helping users to better understand relationships. In addition, our approach keeps track of context – an important challenge in SQA – by allowing users to make their focus explicit via subgraph selection. Our results show that the interaction principle is either understood immediately or picked up very quickly – and that the possibility of exploring the information space iteratively is appreciated. |
format | Online Article Text |
id | pubmed-7148211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71482112020-04-13 KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources Witschel, Hans Friedrich Riesen, Kaspar Grether, Loris Advances in Information Retrieval Article Exploring a knowledge base is often an iterative process: initially vague information needs are refined by interaction. We propose a novel approach for such interaction that supports sequential question answering (SQA) on knowledge graphs. As opposed to previous work, we focus on exploratory settings, which we support with a visual representation of graph structures, helping users to better understand relationships. In addition, our approach keeps track of context – an important challenge in SQA – by allowing users to make their focus explicit via subgraph selection. Our results show that the interaction principle is either understood immediately or picked up very quickly – and that the possibility of exploring the information space iteratively is appreciated. 2020-03-17 /pmc/articles/PMC7148211/ http://dx.doi.org/10.1007/978-3-030-45439-5_50 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Witschel, Hans Friedrich Riesen, Kaspar Grether, Loris KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title | KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title_full | KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title_fullStr | KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title_full_unstemmed | KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title_short | KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources |
title_sort | kvgr: a graph-based interface for explorative sequential question answering on heterogeneous information sources |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148211/ http://dx.doi.org/10.1007/978-3-030-45439-5_50 |
work_keys_str_mv | AT witschelhansfriedrich kvgragraphbasedinterfaceforexplorativesequentialquestionansweringonheterogeneousinformationsources AT riesenkaspar kvgragraphbasedinterfaceforexplorativesequentialquestionansweringonheterogeneousinformationsources AT gretherloris kvgragraphbasedinterfaceforexplorativesequentialquestionansweringonheterogeneousinformationsources |