Browsing by Author "d'Aquin, Mathieu"
Now showing items 1-8 of 8
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The data ethics challenges of explainable AI and their knowledge-based solutions
d'Aquin, Mathieu (IOS Press, 2020-05)Abstract. Explainable AI has recently gained momentum as an approach to overcome some of the more obvious ethical implications of the increasingly widespread application of AI (mostly machine learning). It is however not ... -
Efficient path query approaches over distributed linked data
Mehmood, Qaiser (NUI Galway, 2021-03-18)In the past decade, graphs have become the defacto data model in some of the popular application domains such as bioinformatics, social, and road networks. One of the most used variants of the graph model is the labeled ... -
Generating and ranking candidate data models from background knowledge
Oliveira, Daniela (NUI Galway, 2021-01-04)Knowledge graphs have emerged as a core technology to publish, share, and integrate data on the Web. Contrary to traditional data storage solutions, such as relational databases, one of the core functionalities of Knowledge ... -
Graph-based diffusion methods for node classification and link prediction
Timilsina, Mohan (NUI Galway, 2020-02-13)Graphs are common representation tools to organize information from heterogeneous sources. They have been applied in various domains such as the scientific, engineering, political, and business sectors. The large volume ... -
One size does not fit all: querying web polystores
Khan, Yasar; Zimmermann, Antoine; Jha, Alokkumar; Gadepally, Vijay; d'Aquin, Mathieu; Sahay, Ratnesh (IEEE, 2019-01-17)Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) supported by varied data models (CSV, JSON, ... -
Semantic knowledge graphs to understand tumor evolution and predict disease survival in cancer
Alokkumar, Jha (NUI Galway, 2020-07-06)Genomics technologies have generated large amounts of easily accessible biological -omics data, providing an unprecedented opportunity to study the mechanism in cancer. However, clinical research and the life sciences ... -
Towards sharing task environments to support reproducible evaluations of interactive recommender systems
Barraza-Urbina, Andrea; d'Aquin, Mathieu (NUI Galway, 2019-09-20)Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core ... -
Uncovering semantic bias in neural network models using a knowledge graph
Nikolov, Andriy; d'Aquin, Mathieu (ACM, 2020-10-19)While neural networks models have shown impressive performance in many NLP tasks, lack of interpretability is often seen as a disadvantage. Individual relevance scores assigned by post-hoc explanation methods are not ...