Table for the 34 triples for predicate skos:definition in graph http://purl.org/vocabularies/amalgame/modules/ag_modules.ttl

SubjectObject
amalgame:Manual evaluation"A process class representing manual evaluation processes "@en
amalgame:ambiguity/remove"Select correspondences with a unique source, target or both, discard others"@en
amalgame:best numeric score"Select correspondences that have the best score considering some numerical ranking, discard others."@en
amalgame:evaluater"Component that analyzes correspondences in a mappings by manual evaluation"@en
amalgame:import/preloaded"Match mappings from preloaded named graph against concepts in source and target vocabularies"@en
amalgame:import/preloaded"Select mappings with corresponding mappings in the preloaded mapping, discard others with the same source/target."@en
amalgame:label/compound source"Select mappings with the most matching labels, discard others for the same source/target. If type=all, all candidates with matching labels are selected. All matching is done after compound splitting the label(s) of the source concepts. Source labels are splitted using rdf_tokenize_literal/2. Warning: source label tokens are matched against complete target labels!"@en
amalgame:label/exact"Generate new candidates based on exact matching labels of source and target concepts."@en
amalgame:label/exact"Select mappings with the most matching labels, discard others for the same source/target. If type=all, all candidates with matching labels are selected."@en
amalgame:label/similarity"Generate new candidates based on similar labels. The matcher is based on the 'isub' metric introduced in 'A string metric for ontology alignment' by Giorgos Stoilos, 2005."@en
amalgame:label/similarity"Select mappings with the most similar labels, discard others for the same source/target. If type=all, all candidates with sufficiently similar labels are selected. The matcher is based on the 'isub' metric introduced in 'A string metric for ontology alignment' by Giorgos Stoilos, 2005."@en
amalgame:label/splitted source"A label matcher matching after compound splitting the label(s) of the source concepts. Source labels are splitted using rdf_tokenize_literal/2. Warning: source label tokens are matched against complete target labels! "@en
amalgame:label/stemmed"Generate new candidates based on label matching after (snowball) stemming."@en
amalgame:label/stemmed"Select mappings with the most matching labels after (snowball) stemming, discard others for the same source/target. If type=all, all candidates with matching labels are selected."@en
amalgame:mapping merger"Merge two or more mappings into one new mapping. For example, to collect the good mappings made by different processes."@en
amalgame:most generic"Select the most generic concepts among alternatives for the same source/target, discard others."@en
amalgame:most labels"Select correspondences that already have the most matching labels (according to their evidence data.)"@en
amalgame:most methods"Select correspondences that have been selected by the most other methods (according to their evidence data.)"@en
amalgame:numeric/difference"Generate new candidates based on similar numeric literals. The score is the absolute difference of the two numeric literals compared, or infinite if these are not numbers."@en
amalgame:numeric/difference"Select mappings with similar numeric literals. If type=all, all candidates with sufficiently similar numbers are selected. The score is the absolute difference of the two numeric literals compared, or infinite if these are not numbers."@en
amalgame:overlap"Component that analyzes a set of mappings by creating intersections and differences sets"@en
amalgame:partion facet on property/value"Partition a vocabulary based on the concepts having a specific property/value, or not."@en
amalgame:partition facet by subtree"Partition a vocabulary based on the concepts being in the sub-tree below (using BT/NT) a common parent concept, or not."@en
amalgame:partition facet on type"Partition a vocabulary based on the concepts being of a specific type, or not."@en
amalgame:partition mapped/unmapped"Partition a vocabulary based on the concepts having already been mapped, or not."@en
amalgame:partition on unique labels"Partition a vocabulary based on the concepts being uniquely labeled, or not."@en
amalgame:sampler"Component that randomly samples correspondences to create a new mapping."@en
amalgame:sibling selecter"Select the siblings (if any) among alternatives for the same source/target. This is used, for example, when a single source with two labels matches on two distinct but very similar targets and both mappings need to be preserved. "@en
amalgame:structure/ancestor"Generate new candidates by looking for 1 or more ancestors that have already been mapped."@en
amalgame:structure/ancestor"Select mappings with the most mapped ancestors, discard others for the same source/target. If type=all, all correspondences with one or more ancestors are selected."@en
amalgame:structure/descendent"Generate new candidates by looking for 1 or more descendents that have already been mapped."@en
amalgame:structure/descendent"Select mappings with the most mapped descendents, discard others for the same source/target. If type=all, all correspondences with one or more descendents are selected."@en
amalgame:structure/related"Generate new candidates by looking for 1 or more related concepts that have already been mapped."@en
amalgame:structure/related"Select mappings with the most mapped related concepts, discard others for the same source/target. If type=all, all correspondences with one or more related concepts are selected."@en