14 citations · 45 across the 11 of their papers we have counts for
11 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…
Competency Questions and SPARQL-OWL Queries Dataset and Analysis
Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz +1
Competency Questions (CQs) are natural language questions outlining and constraining the scope of knowledge represented by an ontology. Despite that CQs are a part of several ontol…
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies
Gustavo Correa Publio, Diego Esteves, Agnieszka Ławrynowicz +5
The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing an…
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets
Jedrzej Potoniec, Piotr Jakubowski, Agnieszka Ławrynowicz
In this study, we present Swift Linked Data Miner, an interruptible algorithm that can directly mine an online Linked Data source (e.g., a SPARQL endpoint) for OWL 2 EL class expre…
Test-Driven Development of ontologies (extended version)
C. Maria Keet, Agnieszka Lawrynowicz
Emerging ontology authoring methods to add knowledge to an ontology focus on ameliorating the validation bottleneck. The verification of the newly added axiom is still one of tryin…
The role of semantics in mining frequent patterns from knowledge bases in description logics with rules
Joanna Jozefowska, Agnieszka Lawrynowicz, Tomasz Lukaszewski
We propose a new method for mining frequent patterns in a language that combines both Semantic Web ontologies and rules. In particular we consider the setting of using a language t…