Package de.uni_mannheim.informatik.dws.melt.matching_data
package de.uni_mannheim.informatik.dws.melt.matching_data
This package contains the classes to support tracks and test cases.
In MELT a track is a collection of one or more test cases. A test case is a concrete matching task.
MELT is compatible with SEALS tracks. The MELT track repository infrastructure can also be found in this package.
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ClassDescriptionDefines how complete a gold standard is.A track that does not exist on the SEALS repository.Track on the SEALS platform.A TestCase is an individual matching task that may be a component of a
Track.Enumerations of the three files that make up a test case.This class represents a track from OAEI like anatomy, conference or multifarm etc.Track repository which lists all different tracks in possibly multiple versions.Anatomy track.The multilingual archaeology track is newly established for OAEI 2024.Biodiv track.Bio-ML: A ML-friendly Biomedical track for Equivalence and Subsumption Matching.
This track presents an unified evaluation framework suitable for both ML-based and non-ML-based OM systems.The 2022 edition involves the following ontologies: OMIM (Online Mendelian Inheritance in Man) ORDO (Orphanet Rare Disease Ontology) NCIT (National Cancer Institute Thesaurus) DOID (Human Disease Ontology) FMA (Foundational Model of Anatyomy) SNOMED CT See also https://doi.org/10.5281/zenodo.6510086.The Circular Economy track is about matching relevant Circular Economy ontologies.This track evaluates the ability of matching systems to map the schema (classes) of large common knowledge graphs such as DBpedia, YAGO and NELL.Complex track.Conference track.The goal of the Digital Humanities track is to evaluate matching system performance when dealing with small datasets in different languages and specialist terms from archaeology, cultural history and the interlink of DH and computer science.Doremus track.Food Nutritional Composition track.IIMB track.Instance MatchingKnowledgegraph track.Laboratory Analytics Domain track.Large Biomedical Ontologies.2015 version of Large Biomedical Ontologies.2016 version of Large Biomedical Ontologies - these are also used for 2017 and 2018.HOBBIT Link Discovery.ML DatasetsMaterial Sciences and Engineering track.Multifarm track.Disease and Phenotype track.2016 version of DiseasePhenotype Track2017 version of DiseasePhenotype Track (HP_MP and DOID_ORDO also used in 2018)Process Matching Track (last run in 2017) For more info see Process Matching Track WebsiteHOBBIT Spimbench The goal of this track is to determine when two OWL instances describe the same Creative Work.