TY - GEN
T1 - To graph or not to graph
T2 - 2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023
AU - Neubig, Stefan
AU - Rebholz, Dominik
AU - Hein, Andreas
AU - Keller, Robert
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2023 Gesellschaft fur Informatik (GI). All rights reserved.
PY - 2023
Y1 - 2023
N2 - Sustainability is a critical challenge in modern tourism, exacerbated by climate change and globalization. Thanks to digitization, data-driven approaches constitute a key technology for addressing related issues, such as overtourism. However, the overarching complexity of the touristic data landscape, amplified by the interplay of diverse digital platform ecosystems, poses considerable challenges to both data owners and consumers. To mitigate such issues, knowledge graphs (KGs) have received significant attention. KGs focus on data quality by employing unified data models and continuous data refinements, making them well-suited for data-driven applications. Although promising, many challenges must be addressed to make KGs useful in practice. This paper overviews the state of the art of the field and identifies avenues for future research, explicitly focusing on touristic value and sustainability. Following our results, future research should focus on different areas, notably real-Time knowledge graph population, distributed and parallelized processes, and ontologies for dynamic data types.
AB - Sustainability is a critical challenge in modern tourism, exacerbated by climate change and globalization. Thanks to digitization, data-driven approaches constitute a key technology for addressing related issues, such as overtourism. However, the overarching complexity of the touristic data landscape, amplified by the interplay of diverse digital platform ecosystems, poses considerable challenges to both data owners and consumers. To mitigate such issues, knowledge graphs (KGs) have received significant attention. KGs focus on data quality by employing unified data models and continuous data refinements, making them well-suited for data-driven applications. Although promising, many challenges must be addressed to make KGs useful in practice. This paper overviews the state of the art of the field and identifies avenues for future research, explicitly focusing on touristic value and sustainability. Following our results, future research should focus on different areas, notably real-Time knowledge graph population, distributed and parallelized processes, and ontologies for dynamic data types.
KW - Knowledge Graphs
KW - Semantic Data Integration
KW - Sustainable Tourism
UR - http://www.scopus.com/inward/record.url?scp=85181137794&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181137794
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 1337
EP - 1351
BT - INFORMATIK 2023 - Designing Futures
A2 - Klein, Maike
A2 - Krupka, Daniel
A2 - Winter, Cornelia
A2 - Wohlgemuth, Volker
PB - Gesellschaft fur Informatik (GI)
Y2 - 26 September 2023 through 29 September 2023
ER -
