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1 #formal concept analysis
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2
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3 import rdflib
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4 from rdflib import plugin, OWL, URIRef
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5 from rdflib.graph import Graph
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6 from rdflib.namespace import Namespace
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7
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8 execfile('/Users/alo/MusicOntology/features/fca/writeHTML.py')
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9
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10 plugin.register(
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11 'sparql', rdflib.query.Processor,
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12 'rdfextras.sparql.processor', 'Processor')
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13 plugin.register(
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14 'sparql', rdflib.query.Result,
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15 'rdfextras.sparql.query', 'SPARQLQueryResult')
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16
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17 graph = Graph()
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18 graph.parse('/Users/alo/MusicOntology/features/featuresCatalogue.rdf')
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19
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20 tools = []
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21
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22 res = graph.query(
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23 """SELECT DISTINCT ?tool
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24 WHERE {
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25 ?x local:computedIn ?tool .
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26 ?x local:feature ?feature
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27 }
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28 ORDER BY ?tool""",
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29 initNs=dict(
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30 local=Namespace("http://sovarr.c4dm.eecs.qmul.ac.uk/features/"))
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31 )
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32
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33 for it in res:
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34 tools.append(it[0])
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35
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36 tools.sort()
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37
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38 features = []
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39
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40 for s, p, o in graph.triples((None, None, OWL.Class)):
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41 features.append(s.split('/')[-1])
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42
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43 features.sort()
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44
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45 for ns, value in graph.namespaces():
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46 if ns == 'local':
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47 local = value
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48
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49 similarity = {}
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50
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51 for feature in features:
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52 mtrx = []
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53 for i in range(len(tools)):
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54 row = []
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55 for j in range(len(tools)):
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56 row.append(0)
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57 mtrx.append(row)
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58 similarity[feature] = mtrx
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59 for s, p, o in graph.triples((URIRef(local+feature), URIRef(local+'computedIn'), None)):
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60 if tools.count(o) != 0:
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61 similarity[feature][tools.index(o)][tools.index(o)] = 1
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62
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63
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64 html = ''
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65 for feature in features:
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66 count = 0
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67 for i in range(len(similarity[feature])):
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68 count += similarity[feature][i].count(1)
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69 if count > 1:
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70 html += '<div>'
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71 html += feature + '<br>'
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72 html += writeHTML('', similarity[feature], tools, tools)
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73 html += '</div>'
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74
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75 path = 'similarityMatrices.html'
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76 file = open(path, 'w')
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77 file.write(html)
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78 file.close()
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79
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80
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81 wiki = ''
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82 for feature in features:
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83 count = 0
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84 for i in range(len(similarity[feature])):
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85 count += similarity[feature][i].count(1)
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86 if count > 1:
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87 wiki += '<div>\n'
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88 wiki += '====' + feature + '====\n'
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89 wiki += writeWikiTable('', similarity[feature], tools, tools)
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90 wiki += '</div>\n'
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91
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92 path = 'similarityMatricesWiki.txt'
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93 file = open(path, 'w')
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94 file.write(wiki)
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95 file.close()
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96
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97 latex = ''
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98 for feature in features:
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99 count = 0
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100 for i in range(len(similarity[feature])):
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101 count += similarity[feature][i].count(1)
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102 if count > 1:
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103 latex += '\n'
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104 latex += '{\large \\bfseries ' + feature + '}\n'
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105 latex += writeLatexTable('', similarity[feature], tools, tools)
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106 latex += '\n'
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107
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108 path = 'similarityMatricesLatex.txt'
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109 file = open(path, 'w')
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110 file.write(latex)
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111 file.close()
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