Quotation Chang, Dawa. 2021. Exploring the Potential of Knowledge Graphs to Support Distant Knowledge Search for Innovation. 13th ACM Web Science Conference 2021 PhD Symposium, University of Southampton, United Kingdom, 21.06.


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Abstract

This research aims to investigate how and under what conditions Knowledge Graphs (KGs) can support ideation tasks in the innovation process in new product and service development. Overcoming humans’ cognitive limitations of creativity and enhancing their abilities to search and acquire “distant knowledge”, i.e., knowledge that exists outside individuals’ immediate technological or organizational boundaries, have been long-term topics in innovation management, motivated by their significance for more substantial innovation which shall guarantee organizations’ sustainability and long-term success. Consequently, many studies have been conducted to develop methods to tackle cognitive limitations and represent relevant knowledge more effectively to individuals. Research into the potential of KGs to support this process, however, has been limited, despite their abilities to represent and structure knowledge. Our research seeks to investigate the potential of KGs to support innovators through efficient and effective exploration of distant knowledge.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Paper presented at an academic conference or symposium
Language English
Title Exploring the Potential of Knowledge Graphs to Support Distant Knowledge Search for Innovation
Event 13th ACM Web Science Conference 2021 PhD Symposium
Year 2021
Date 21.06
Country United Kingdom
Location University of Southampton
URL https://doi.org/10.1145/3462741.3466673

Associations

Projects
KnowGraphs - Knowledge Graphs at Scale
People
Chang, Dawa (Details)
Organization
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
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