#ontologymatching — Public Fediverse posts

A package implementing #AutoCal was published on #PyPI:

🔗 https://pypi.org/project/matchain/

The source sits on #GitHub in a repository administered by the main author of the paper (who is not in the #Fediverse so far):

🔗 https://github.com/ae3000/matchain

Also, there's no implementation in #CommonLisp so far. 😇

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🏷️ #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #MatChain #WorldAvatar #DigitalTwin #WebSem #LinkedData #KnowledgeGraph #MachineLearning #DeepLearning #Python #Lisp

From the abstract:

›We also select an unsupervised state-of-the-art matcher from the field of #DeepLearning for a thorough comparison.

Our results show that neither #AutoCal nor the state-of-the-art matcher is superior regarding matching quality while AutoCal has only moderate hardware requirements and runs 2.7 to 60 times faster.‹

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🏷️ #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #MatChain #PyPI #WorldAvatar #DigitalTwin #WebSem #LinkedData #KnowledgeGraph

From the abstract:

›We introduce #AutoCal, a new #InstanceMatcher which does not require #LabelledData and runs out of the box for a wide range of domains without tuning method-specific parameters.

AutoCal achieves results competitive to recently proposed unsupervised matchers from the field of #MachineLearning.‹

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🏷️ #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #LinkedData #KnowledgeGraph

May I kindly draw your attention to this scientific paper in the #JournalOfWebSemantics, since my fate was to read many versions of it and to comment extensively:

›A simple and efficient approach to #unsupervised #InstanceMatching and its application to #LinkedData of #PowerPlants‹

→ https://doi.org/10.1016/j.websem.2024.100815

1/4

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🏷️ #MachineLearning #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #AutoCal #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #KnowledgeGraph

May I kindly draw your attention to this scientific paper in the #JournalOfWebSemantics, since my fate was to read many versions of it and to comment extensively:

›A simple and efficient approach to #unsupervised #InstanceMatching and its application to #LinkedData of #PowerPlants‹

→ https://doi.org/10.1016/j.websem.2024.100815

1/4

🌺

🏷️ #MachineLearning #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #AutoCal #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #KnowledgeGraph

May I kindly draw your attention to this scientific paper in the #JournalOfWebSemantics, since my fate was to read many versions of it and to comment extensively:

›A simple and efficient approach to #unsupervised #InstanceMatching and its application to #LinkedData of #PowerPlants‹

→ https://doi.org/10.1016/j.websem.2024.100815

1/4

🌺

🏷️ #MachineLearning #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #AutoCal #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #KnowledgeGraph

May I kindly draw your attention to this scientific paper in the #JournalOfWebSemantics, since my fate was to read many versions of it and to comment extensively:

›A simple and efficient approach to #unsupervised #InstanceMatching and its application to #LinkedData of #PowerPlants‹

→ https://doi.org/10.1016/j.websem.2024.100815

1/4

🌺

🏷️ #MachineLearning #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #AutoCal #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #KnowledgeGraph

May I kindly draw your attention to this scientific paper in the #JournalOfWebSemantics, since my fate was to read many versions of it and to comment extensively:

›A simple and efficient approach to #unsupervised #InstanceMatching and its application to #LinkedData of #PowerPlants‹

→ https://doi.org/10.1016/j.websem.2024.100815

1/4

🌺

🏷️ #MachineLearning #InstanceMatching #RecordLinkage #OntologyMatching #ArtificialIntelligence #AutoCal #MatChain #PyPI #WorldAvatar #DigitalTwin #Python #WebSem #KnowledgeGraph

We are happy to welcome Sven Hertling on board as new FIZ ISE PostDoc team member. Sven comes from the research group of Heiko Paulheim at University of Mannheim and will continue his research together with us at @fiz_karlsruhe on #knowledgegraphs and #ontologicalEngineering #ontologyMatching #semanticweb #ai

GoogleScholar: https://scholar.google.com/citations?user=N7MADekAAAAJ&hl=en&oi=ao
DBLP: https://dblp.org/pid/129/9510.html

@tabea @sashabruns @sourisnumerique @MahsaVafaie @enorouzi @heikef @GenAsefa @epoz