Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Ossenbruggen, Jacco"'
Publikováno v:
MTST2024
Competency question (CQ) formulation is central to several ontology development and evaluation methodologies. Traditionally, the task of crafting these competency questions heavily relies on the effort of domain experts and knowledge engineers which
Externí odkaz:
http://arxiv.org/abs/2409.08820
Autor:
Daniil, Savvina, Slokom, Manel, Cuper, Mirjam, Liem, Cynthia C. S., van Ossenbruggen, Jacco, Hollink, Laura
Statements on the propagation of bias by recommender systems are often hard to verify or falsify. Research on bias tends to draw from a small pool of publicly available datasets and is therefore bound by their specific properties. Additionally, imple
Externí odkaz:
http://arxiv.org/abs/2409.08046
Traditional Semantic Table Interpretation (STI) methods rely primarily on the underlying table data to create semantic annotations. This year's SemTab challenge introduced the ``Metadata to KG'' track, which focuses on performing STI by using only me
Externí odkaz:
http://arxiv.org/abs/2409.13709
Autor:
Dankloff, Mirthe, Skoric, Vanja, Sileno, Giovanni, Ghebreab, Sennay, Van Ossenbruggen, Jacco, Beauxis-Aussalet, Emma
AI algorithms used in the public sector, e.g., for allocating social benefits or predicting fraud, often involve multiple public and private stakeholders at various phases of the algorithm's life-cycle. Communication issues between these diverse stak
Externí odkaz:
http://arxiv.org/abs/2404.00022
Traditional dataset retrieval systems rely on metadata for indexing, rather than on the underlying data values. However, high-quality metadata creation and enrichment often require manual annotations, which is a labour-intensive and challenging proce
Externí odkaz:
http://arxiv.org/abs/2403.00884
Web resources in linked open data (LOD) are comprehensible to humans through literal textual values attached to them, such as labels, notes, or comments. Word choices in literals may not always be neutral. When outdated and culturally stereotyping te
Externí odkaz:
http://arxiv.org/abs/2311.10757
Collaborative filtering algorithms have the advantage of not requiring sensitive user or item information to provide recommendations. However, they still suffer from fairness related issues, like popularity bias. In this work, we argue that popularit
Externí odkaz:
http://arxiv.org/abs/2209.00371
With the rapidly increasing amount of scientific literature,it is getting continuously more difficult for researchers in different disciplines to be updated with the recent findings in their field of study.Processing scientific articles in an automat
Externí odkaz:
http://arxiv.org/abs/2203.01608
Publikováno v:
Proceedings of the 11th Knowledge Capture Conference (K-CAP '21), December 2--3, 2021, Virtual Event, USA
The use of semantic technologies is gaining significant traction in science communication with a wide array of applications in disciplines including the Life Sciences, Computer Science, and the Social Sciences. Languages like RDF, OWL, and other form
Externí odkaz:
http://arxiv.org/abs/2109.12907
The "basic level", according to experiments in cognitive psychology, is the level of abstraction in a hierarchy of concepts at which humans perform tasks quicker and with greater accuracy than at other levels. We argue that applications that use conc
Externí odkaz:
http://arxiv.org/abs/1910.12619