239 citations · 1k across the 25 of their papers we have counts for
26 papers
Ontologies in Digital Twins: A Systematic Literature Review
Erkan Karabulut, Salvatore F. Pileggi, Paul Groth +1
Digital Twins (DT) facilitate monitoring and reasoning processes in cyber-physical systems. They have progressively gained popularity over the past years because of intense researc…
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem +1
Knowledge Graph Embedding (KGE) models are used to learn continuous representations of entities and relations. A key task in the literature is predicting missing links between enti…
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring
Qingzhi Hu, Daniel Daza, Laurens Swinkels +3
The Sustainable Development Goals (SDGs) were introduced by the United Nations in order to encourage policies and activities that help guarantee human prosperity and sustainability…
Evaluating FAIR Digital Object and Linked Data as distributed object systems
Stian Soiland-Reyes, Carole Goble, Paul Groth
FAIR Digital Object (FDO) is an emerging concept that is highlighted by European Open Science Cloud (EOSC) as a potential candidate for building a ecosystem of machine-actionable r…
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Daniel Daza, Dimitrios Alivanistos, Payal Mitra +3
Knowledge graphs (KGs) are an important tool for representing complex relationships between entities in the biomedical domain. Several methods have been proposed for learning embed…
Self-Contained Entity Discovery from Captioned Videos
Melika Ayoughi, Pascal Mettes, Paul Groth
This paper introduces the task of visual named entity discovery in videos without the need for task-specific supervision or task-specific external knowledge sources. Assigning spec…
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes
Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse +1
Node classification utilizing text-based node attributes has many real-world applications, ranging from prediction of paper topics in academic citation graphs to classification of…
Making Table Understanding Work in Practice
Madelon Hulsebos, Sneha Gathani, James Gale +3
Understanding the semantics of tables at scale is crucial for tasks like data integration, preparation, and search. Table understanding methods aim at detecting a table's topic, se…
Packaging research artefacts with RO-Crate
Stian Soiland-Reyes, Peter Sefton, Mercè Crosas +13
An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific a…
Relational Graph Convolutional Networks: A Closer Look
Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem +1
In this paper, we describe a reproduction of the Relational Graph Convolutional Network (RGCN). Using our reproduction, we explain the intuition behind the model. Our reproduction…
GitTables: A Large-Scale Corpus of Relational Tables
Madelon Hulsebos, Çağatay Demiralp, Paul Groth
The success of deep learning has sparked interest in improving relational table tasks, like data preparation and search, with table representation models trained on large table cor…
Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
Ryan Brate, Paul Groth, Marieke van Erp
Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or…
Inductive Entity Representations from Text via Link Prediction
Daniel Daza, Michael Cochez, Paul Groth
Knowledge Graphs (KG) are of vital importance for multiple applications on the web, including information retrieval, recommender systems, and metadata annotation. Regardless of whe…
Knowledge Scientists: Unlocking the data-driven organization
George Fletcher, Paul Groth, Juan Sequeda
Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for…
Talking datasets: Understanding data sensemaking behaviours
Laura Koesten, Kathleen Gregory, Paul Groth +1
The sharing and reuse of data are seen as critical to solving the most complex problems of today. Despite this potential, relatively little is known about a key step in data reuse:…
A Longitudinal Analysis of University Rankings
Friso Selten, Cameron Neylon, Chun-Kai Huang +1
Pressured by globalization and the increasing demand for public organisations to be accountable, efficient and transparent, university rankings have become an important tool for as…
Dataset search: a survey
Adriane Chapman, Elena Simperl, Laura Koesten +4
Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific pub…
End-to-End Learning for Answering Structured Queries Directly over Text
Paul Groth, Antony Scerri, Ron Daniel +1
Structured queries expressed in languages (such as SQL, SPARQL, or XQuery) offer a convenient and explicit way for users to express their information needs for a number of tasks. I…
DATA:SEARCH'18 -- Searching Data on the Web
Paul Groth, Laura Koesten, Philipp Mayr +2
This half day workshop explores challenges in data search, with a particular focus on data on the web. We want to stimulate an interdisciplinary discussion around how to improve th…
Open Information Extraction on Scientific Text: An Evaluation
Paul Groth, Michael Lauruhn, Antony Scerri +1
Open Information Extraction (OIE) is the task of the unsupervised creation of structured information from text. OIE is often used as a starting point for a number of downstream tas…
Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines
Kathleen Gregory, Paul Groth, Helena Cousijn +2
A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the d…
Sources of Change for Modern Knowledge Organization Systems
Michael Lauruhn, Paul Groth
Knowledge Organization Systems (e.g. taxonomies and ontologies) continue to contribute benefits in the design of information systems by providing a shared conceptual underpinning f…
10 Simple Rules for the Care and Feeding of Scientific Data
Alyssa Goodman, Alberto Pepe, Alexander W. Blocker +12
This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past…
On the Formulation of Performant SPARQL Queries
Antonis Loizou, Paul Groth
The combination of the flexibility of RDF and the expressiveness of SPARQL provides a powerful mechanism to model, integrate and query data. However, these properties also mean tha…