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To Graph or Not to Graph : The Missing Pieces for Knowledge Graphs in Sustainable Tourism

Title data

Neubig, Stefan ; Rebholz, Dominik ; Hein, Andreas ; Keller, Robert ; Krcmar, Helmut:
To Graph or Not to Graph : The Missing Pieces for Knowledge Graphs in Sustainable Tourism.
In: Tagungsband der Informatik 2023. - Berlin , 2023

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Project financing: Projekt "AIR"

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Sustainable Tourism; Knowledge Graphs; Semantic Data Integration
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 17 Nov 2023 07:22
Last Modified: 17 Nov 2023 07:22