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pro vyhledávání: '"℗Ławrynowicz, Agnieszka"'
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 taste and sommelier-defined rules. Leveraging a food dataset comprising 50
Externí odkaz:
http://arxiv.org/abs/2407.00107
Autor:
Ławrynowicz, Agnieszka
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.
Externí odkaz:
http://arxiv.org/abs/2305.17196
Autor:
Wróblewska, Ania, Kaliska, Agnieszka, Pawłowski, Maciej, Wiśniewski, Dawid, Sosnowski, Witold, Ławrynowicz, Agnieszka
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 entities. However, there are still only a few well-defined tasks that serve
Externí odkaz:
http://arxiv.org/abs/2204.07775
Competency Questions (CQs) are used in many ontology engineering methodologies to collect requirements and track the completeness and correctness of an ontology being constructed. Although they are frequently suggested by ontology engineering methodo
Externí odkaz:
http://arxiv.org/abs/2105.09574
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-last approach. Test-Driven Development (TDD) for ontology authoring i
Externí odkaz:
http://arxiv.org/abs/1812.06015
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 ontology engineering methodologies, we have observed that the actual public
Externí odkaz:
http://arxiv.org/abs/1811.09529
Autor:
Hammar, Karl, Hitzler, Pascal, Krisnadhi, Adila, Ławrynowicz, Agnieszka, Nuzzolese, Andrea Giovanni, Solanki, Monika
The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design
Autor:
Publio, Gustavo Correa, Esteves, Diego, Ławrynowicz, Agnieszka, Panov, Panče, Soldatova, Larisa, Soru, Tommaso, Vanschoren, Joaquin, Zafar, Hamid
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 and interchanging information on machine learning algorithms, datasets,
Externí odkaz:
http://arxiv.org/abs/1807.05351
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 expressions to extend an ontology with new SubClassOf: axioms. The algorith
Externí odkaz:
http://arxiv.org/abs/1710.07114