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Found 6 papers, 4 papers with code
A Knowledge Engineering Primer
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
We provide a few state-of-the-art baselines of named entity recognition models, which show that our dataset poses a solid challenge to existing models.
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
We also publish the dataset as well as scripts transforming axiom shapes into pairs of CQ patterns and SPARQL-OWL templates, to make engineers able to adapt the process to their particular needs.
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation
We use the dataset to approach the problem of generating recipes.
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ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies
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, and experiments.
Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets
We show, by means of a crowdsourcing experiment, that most of the axioms mined by Swift Linked Data Miner are correct and can be added to an ontology.
