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<!DOCTYPE html> | ||
<html lang="en"> | ||
<head> | ||
<meta charset="UTF-8"> | ||
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<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Playfair+Display:400,700&display=swap"> | ||
<title>MLSea</title> | ||
<link rel="stylesheet" href="style.css"> | ||
<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<title>MLSea</title> | ||
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<body> | ||
<header> | ||
<h1>MLSea Resource Artifacts</h1> | ||
<p>This web page provides the artifacts related to our submitted publication | ||
entitled <br> <b>“MLSea: A Semantic Layer for Discoverable Machine Learning”</b>.<br> | ||
The resource includes:</p> | ||
</header> | ||
<br> | ||
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<div class="content-container"> | ||
<div class="list-container"> | ||
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<ul> | ||
<li>The Machine Learning Sailor Ontology (MLSO) <a href="https://w3id.org/mlso" target="_blank">documentation</a>. | ||
</li> | ||
<li>The GitHub <a href="https://github.com/dtai-kg/MLSO" target="_blank">repository</a> for the Machine Learning Sailor Ontology and Taxonomies. | ||
</li> | ||
<li>The Zenodo <a href="https://zenodo.org/doi/10.5281/zenodo.10287349" target="_blank">repository</a> for the RDF snapshots of MLSea-KG. | ||
</li> | ||
<li>The MLSea-KG SPARQL <a href="http://w3id.org/mlsea-kg" target="_blank">endpoint</a>. | ||
</li> | ||
<li>The GitHub <a href="https://github.com/dtai-kg/MLSea-Discover" target="_blank">repository</a> containing resource code and RML mappings used in | ||
the construction of MLSea-KG. | ||
</li> | ||
</ul> | ||
</div> | ||
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<body data-bs-spy="scroll" data-bs-target=".navbar" data-bs-offset="100"> | ||
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<!-- Navbar section --> | ||
<header class="header_wrapper"> | ||
<nav class="navbar navbar-expand-lg"> | ||
<div class="container"> | ||
<a class="navbar-brand mx-auto" href="./index.html"> | ||
<img src="images/mlsea-logo-transparent.png" alt="logo"> | ||
</a> | ||
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</nav> | ||
</header> | ||
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<!-- Categories section --> | ||
<section id="categories"> | ||
<div class="container-fluid"> | ||
<div class="row"> | ||
<div class="col-sm-12 section-title text-center mb-5"> | ||
<h2>MLSea Resource Artifacts</h2> | ||
<p>This web page provides the artifacts related to our ESWC 2024 publication | ||
entitled <br> <b>“MLSea: A Semantic Layer for Discoverable Machine Learning”</b>.<br> | ||
The resource includes:</p> | ||
</div> | ||
</div> | ||
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<h2>Artifacts Description</h2> | ||
<hr> | ||
<p><b>MLSO:</b> A machine learning ontology that reuses and extends | ||
state-of-the-art ontologies to describe ML workflows, configurations, experimental results, | ||
models, datasets and software implementations.</p> | ||
<div class="container"> | ||
<div class="row"> | ||
<div class="col-md-6 offset-md-3"> | ||
<ul> | ||
<li>The Machine Learning Sailor Ontology (MLSO) <a href="https://w3id.org/mlso" target="_blank">documentation</a>. | ||
</li><br> | ||
<li>The GitHub <a href="https://github.com/dtai-kg/MLSO" target="_blank">repository</a> for the Machine Learning Sailor Ontology and Taxonomies. | ||
</li><br> | ||
<li>The Zenodo <a href="https://zenodo.org/doi/10.5281/zenodo.10287349" target="_blank">repository</a> for the RDF snapshots of MLSea-KG. | ||
</li><br> | ||
<li>The MLSea-KG SPARQL <a href="http://w3id.org/mlsea-kg" target="_blank">endpoint</a>. | ||
</li><br> | ||
<li>The GitHub <a href="https://github.com/dtai-kg/MLSea-Discover" target="_blank">repository</a> containing resource code and RML mappings used in | ||
the construction of MLSea-KG. | ||
</li><br> | ||
<li><a href="http://w3id.org/mlseascape" target="_blank">MLSeascape</a>, a web application that provides user-friendly access over MLSea-KG. | ||
</li><br> | ||
</ul> | ||
</div> | ||
</div> | ||
</div> | ||
<br><br> | ||
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<figure> | ||
<img src="images/UML.jpg" alt="Description of the figure"> | ||
<figcaption>Figure 1: MLSO Overview.</figcaption> | ||
</figure> | ||
<div class="container"> | ||
<div class="row"> | ||
<div class="col-md-8 offset-md-2"> | ||
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<p><b>MLST:</b> Eights Simple Knowledge Organization System (SKOS) taxonomies of ML-related concepts (e.g., | ||
task types, evaluation measures) with a combined total of 4532 SKOS concepts.</p> | ||
<h3>Artifacts Description</h3> | ||
<hr> | ||
<p><b>MLSO:</b> A machine learning ontology that reuses and extends | ||
state-of-the-art ontologies to describe ML workflows, configurations, experimental results, | ||
models, datasets and software implementations.</p> | ||
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||
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<figure> | ||
<img src="images/UML.jpg" alt="Description of the figure"> | ||
<figcaption>Figure 1: MLSO Overview.</figcaption> | ||
</figure> | ||
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<p><b>MLSea-KG:</b> A declaratively constructed and regularly updated KG with more than 1.44 billion RDF | ||
triples of ML experiments, regarding datasets used in ML experiments, tasks, implementations | ||
and related hyper-parameters, experiment executions, their configuration settings and evaluation results, | ||
code notebooks and repositories, algorithms, publications, models, scientists and practitioners.</p> | ||
<p><b>MLST:</b> Eights Simple Knowledge Organization System (SKOS) taxonomies of ML-related concepts (e.g., | ||
task types, evaluation measures) with a combined total of 4532 SKOS concepts.</p> | ||
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<figure> | ||
<img src="images/kgc.jpg" alt="Description of the figure"> | ||
<figcaption>Figure 2: MLSea-KG Construction Process Overview.</figcaption> | ||
</figure> | ||
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<p><b>MLSea-KG:</b> A declaratively constructed and regularly updated KG with more than 1.44 billion RDF | ||
triples of ML experiments, regarding datasets used in ML experiments, tasks, implementations | ||
and related hyper-parameters, experiment executions, their configuration settings and evaluation results, | ||
code notebooks and repositories, algorithms, publications, models, scientists and practitioners.</p> | ||
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<figure> | ||
<img src="images/kgc.jpg" alt="Description of the figure"> | ||
<figcaption>Figure 2: MLSea-KG Construction Process Overview.</figcaption> | ||
</figure> | ||
</div> | ||
</div> | ||
</div> | ||
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</div> | ||
</div> | ||
</section> | ||
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<p>Developed by Ioannis Dasoulas, DTAI Lab, KU Leuven</p> | ||
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