14 citations · 24 across the 7 of their papers we have counts for
9 papers
Neurosymbolic Methods for Rule Mining
Agnieszka Lawrynowicz, Luis Galarraga, Mehwish Alam +3
In this chapter, we address the problem of rule mining, beginning with essential background information, including measures of rule quality. We then explore various rule mining met…
WineGraph: A Graph Representation For Food-Wine Pairing
Zuzanna Gawrysiak, Agata Żywot, Agnieszka Ławrynowicz
We present WineGraph, an extended version of FlavorGraph, a heterogeneous graph incorporating wine data into its structure. This integration enables food-wine pairing based on tast…
A Knowledge Engineering Primer
Agnieszka Ławrynowicz
The aim of this primer is to introduce the subject of knowledge engineering in a concise but synthetic way to develop the reader's intuition about the area.
TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark
Ania Wróblewska, Agnieszka Kaliska, Maciej Pawłowski +3
Food Computing is currently a fast-growing field of research. Natural language processing (NLP) is also increasingly essential in this field, especially for recognising food entiti…
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz
Competency Questions (CQs) are used in many ontology engineering methodologies to collect requirements and track the completeness and correctness of an ontology being constructed.…
More Effective Ontology Authoring with Test-Driven Development
C. Maria Keet, Kieren Davies, Agnieszka Lawrynowicz
Ontology authoring is a complex process, where commonly the automated reasoner is invoked for verification of newly introduced changes, therewith amounting to a time-consuming test…