Projects per year
Abstract
Knowledge graphs (KGs) represent facts in the form of nodes and
relationships and are widely used to represent and share knowledge
in many different domains. However, their widespread adoption to
integrate different data sources and their generation processes have
made KGs very complicated and difficult to understand, leading
to the advent of new knowledge graph exploration approaches to
better understand their contents and extract relevant insights. Nevertheless, the needs of current KG exploration use cases are not met
(even neglected) by existing KG data management systems. Hence,
the question: are we lost? We hope not. Therefore, with the aim of
fostering research on these open issues, in this position paper, we
first present an overview of state-of-the-art approaches for KG exploration. Then, we identify the (currently unmet) requirements for
effective KG exploration systems, and finally, we highlight promising research directions for the realization of a system able to fully
support knowledge graph exploration.
relationships and are widely used to represent and share knowledge
in many different domains. However, their widespread adoption to
integrate different data sources and their generation processes have
made KGs very complicated and difficult to understand, leading
to the advent of new knowledge graph exploration approaches to
better understand their contents and extract relevant insights. Nevertheless, the needs of current KG exploration use cases are not met
(even neglected) by existing KG data management systems. Hence,
the question: are we lost? We hope not. Therefore, with the aim of
fostering research on these open issues, in this position paper, we
first present an overview of state-of-the-art approaches for KG exploration. Then, we identify the (currently unmet) requirements for
effective KG exploration systems, and finally, we highlight promising research directions for the realization of a system able to fully
support knowledge graph exploration.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 12th Conference on Innovative Data Systems Research : CIDR 2022 |
| Publication date | Jan 2022 |
| Edition | 2022 |
| Publication status | Published - Jan 2022 |
| Event | Annual Conference on Innovative Data Systems Research - Chaminade Resort & Spa, Santa Cruz, United States Duration: 9 Jan 2022 → 12 Jan 2022 Conference number: 12 |
Conference
| Conference | Annual Conference on Innovative Data Systems Research |
|---|---|
| Number | 12 |
| Location | Chaminade Resort & Spa |
| Country/Territory | United States |
| City | Santa Cruz |
| Period | 09/01/2022 → 12/01/2022 |
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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EDAO: EDAO: Example Driven Analytics for Open Knowledge Graphs
Lissandrini, M., Pedersen, T. B. & Hose, K.
15/09/2019 → 14/09/2021
Project: Research