Q1: I need to calculate the similarity of other concepts. How do I use it? How do I generate this file(dbpedia_type_ic.txt')?
'''
#%% Computing semantic similarity of DBpedia concepts. from sematch.semantic.graph import DBpediaDataTransform, Taxonomy from sematch.semantic.similarity import ConceptSimilarity concept = ConceptSimilarity(Taxonomy(DBpediaDataTransform()),'models/dbpedia_type_ic.txt') concept.name2concept('actor') print(concept.similarity('http://dbpedia.org/ontology/Actor','http://dbpedia.org/ontology/Film', 'wpath'))
Q2: Run the following code, there is this error, how to solve?
ConnectionResetError: [Errno 104] Connection reset by peer
`
%% Computing semantic similarity of DBpedia entities.
Q1: I need to calculate the similarity of other concepts. How do I use it? How do I generate this file(dbpedia_type_ic.txt')? '''
#%% Computing semantic similarity of DBpedia concepts. from sematch.semantic.graph import DBpediaDataTransform, Taxonomy from sematch.semantic.similarity import ConceptSimilarity concept = ConceptSimilarity(Taxonomy(DBpediaDataTransform()),'models/dbpedia_type_ic.txt') concept.name2concept('actor') print(concept.similarity('http://dbpedia.org/ontology/Actor','http://dbpedia.org/ontology/Film', 'wpath'))Q2: Run the following code, there is this error, how to solve? ConnectionResetError: [Errno 104] Connection reset by peer `
%% Computing semantic similarity of DBpedia entities.
from sematch.semantic.similarity import EntitySimilarity sim = EntitySimilarity() sim.similarity('http://dbpedia.org/resource/Madrid','http://dbpedia.org/resource/Barcelona') #0.409923677282 sim.similarity('http://dbpedia.org/resource/Apple_Inc.','http://dbpedia.org/resource/Steve_Jobs')#0.0904545454545 sim.relatedness('http://dbpedia.org/resource/Madrid','http://dbpedia.org/resource/Barcelona')#0.457984139871 sim.relatedness('http://dbpedia.org/resource/Apple_Inc.','http://dbpedia.org/resource/Steve_Jobs')#0.465991132787 `