4 citations · 9 across the 8 of their papers we have counts for
9 papers
medicX-KG: A Knowledge Graph for Pharmacists' Drug Information Needs
Lizzy Farrugia, Lilian M. Azzopardi, Jeremy Debattista +1
The role of pharmacists is evolving from medicine dispensing to delivering comprehensive pharmaceutical services within multidisciplinary healthcare teams. Central to this shift is…
Predicting Drug-Drug Interactions Using Knowledge Graphs
Lizzy Farrugia, Lilian M. Azzopardi, Jeremy Debattista +1
In the last decades, people have been consuming and combining more drugs than before, increasing the number of Drug-Drug Interactions (DDIs). To predict unknown DDIs, recently, stu…
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football
Nicholas Bonello, Joeran Beel, Seamus Lawless +1
Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely on historical statistical data. The main problems with this approach is that external facto…
LITMUS: An Open Extensible Framework for Benchmarking RDF Data Management Solutions
Harsh Thakkar, Mohnish Dubey, Gezim Sejdiu +6
Developments in the context of Open, Big, and Linked Data have led to an enormous growth of structured data on the Web. To keep up with the pace of efficient consumption and manage…
Towards Cleaning-up Open Data Portals: A Metadata Reconciliation Approach
Alan Tygel, Sören Auer, Jeremy Debattista +2
This paper presents an approach for metadata reconciliation, curation and linking for Open Governamental Data Portals (ODPs). ODPs have been lately the standard solution for govern…
Luzzu Quality Metric Language -- A DSL for Linked Data Quality Assessment
Jeremy Debattista, Christoph Lange, Sören Auer
The steadily growing number of linked open datasets brought about a number of reservations amongst data consumers with regard to the datasets' quality. Quality assessment requires…
Quality Assessment of Linked Datasets using Probabilistic Approximation
Jeremy Debattista, Santiago Londoño, Christoph Lange +1
With the increasing application of Linked Open Data, assessing the quality of datasets by computing quality metrics becomes an issue of crucial importance. For large and evolving d…
Luzzu - A Framework for Linked Data Quality Assessment
Jeremy Debattista, Christoph Lange, Sören Auer
With the increasing adoption and growth of the Linked Open Data cloud [9], with RDFa, Microformats and other ways of embedding data into ordinary Web pages, and with initiatives su…
Representing Dataset Quality Metadata using Multi-Dimensional Views
Jeremy Debattista, Christoph Lange, Sören Auer
Data quality is commonly defined as fitness for use. The problem of identifying quality of data is faced by many data consumers. Data publishers often do not have the means to iden…