6 papers
SPARQL in N3: SPARQL CONSTRUCT as a rule language for the Semantic Web (Extended Version)
Dörthe Arndt, William Van Woensel, Dominik Tomaszuk
Reasoning in the Semantic Web (SW) commonly uses Description Logics (DL) via OWL2 DL ontologies, or SWRL for variables and Horn clauses. The Rule Interchange Format (RIF) offers mo…
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
William Van Woensel, Oshani Seneviratne
Background: Health 3.0 allows decision making to be based on longitudinal data from multiple institutions, from across the patient's healthcare journey. In such a distributed setti…
NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
William Van Woensel, Soroor Motie
This literature review studies the field of automated process extraction, i.e., transforming textual descriptions into structured processes using Natural Language Processing (NLP).…
Process Trace Querying using Knowledge Graphs and Notation3
William Van Woensel
In process mining, a log exploration step allows making sense of the event traces; e.g., identifying event patterns and illogical traces, and gaining insight into their variability…
Using Process Mining to Improve Digital Service Delivery
Jacques Trottier, William Van Woensel, Xiaoyang Wang +3
We present a case study of Process Mining (PM) for personnel security screening in the Canadian government. We consider customer (process time) and organizational (cost) perspectiv…
Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
Inwon Kang, William Van Woensel, Oshani Seneviratne
We explore using Large Language Models (LLMs) to generate application code that automates health insurance processes from text-based policies. We target blockchain-based smart cont…