Bridging Data Gaps : Harnessing Semantic Associations for Knowledge Discovery in Colonial Heritage
Loading...
Access rights
openAccess
CC BY
CC BY
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Date
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
K-CAP 2025 - Proceedings of the 13th Knowledge Capture Conference 2025, pp. 35-43
Abstract
Cultural heritage data, particularly from colonial contexts, frequently presents an incomplete and biased view, reflecting historical institutional priorities more than contemporary knowledge requirements. Consequently, knowledge graphs derived from these records often contain incomplete, fragmented, and skewed data, including absent attributes or values, missing semantic links, and under-represented perspectives. This work addresses the challenge of knowledge discovery under such limitations, presenting a real-world case study on the provenance research of colonial cultural heritage. We present a task-aware design method for building a tool to facilitate this process. The design approach of this application is rooted in a Knowledge Discovery in Database (KDD) framework and is particularly novel due to its formalisation and operationalisation of three distinct types of semantic association: explicit, abstract, and implicit. These semantic associations, grounded in domain interpretation, are crucial for bridging data gaps where user information needs cannot be directly met by existing data. We further demonstrate how these associations can be effectively communicated through user interface components, enabling users to infer new knowledge. We evaluated the resultant application through a user study among domain experts to assess its efficacy. The evaluation confirms the effectiveness of the tool in enabling new knowledge discovery and reveals opportunities to improve the representation of the underlying data, as users could successfully infer insights even when information was missing or poorly captured in the original data sets.Description
Other note
Citation
Shoilee, S B A, Boer, V D, Ahola, A, Rantala, H, Hyvönen, E, van Ossenbruggen, J & Legene, S 2025, Bridging Data Gaps : Harnessing Semantic Associations for Knowledge Discovery in Colonial Heritage. in C Shimizu, S Ferrada & L Kagal (eds), K-CAP 2025 - Proceedings of the 13th Knowledge Capture Conference 2025. ACM, New York, NY, USA, pp. 35-43, Knowledge Capture Conference, Dayton, Ohio, United States, 10/12/2025. https://doi.org/10.1145/3731443.3771345