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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
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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 res = graph.query(
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21 """SELECT DISTINCT ?tool
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22 WHERE {
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23 ?x local:computedIn ?tool .
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24 ?x local:feature ?feature
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25 }
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26 ORDER BY ?tool""",
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27 initNs=dict(
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28 local=Namespace("http://sovarr.c4dm.eecs.qmul.ac.uk/features/"))
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29 )
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30
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31 cols = []
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32
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33 for it in res:
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34 cols.append(it[0])
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35
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36 res = graph.query(
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37 """SELECT DISTINCT ?feature
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38 WHERE {
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39 ?x local:computedIn ?tool .
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40 ?x local:feature ?feature
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41 }
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42 ORDER BY ?feature""",
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43 initNs=dict(
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44 local=Namespace("http://sovarr.c4dm.eecs.qmul.ac.uk/features/"))
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45 )
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46
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47 rows = []
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48
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49 for it in res:
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50 rows.append(it[0])
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51
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52 colmap = {}
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53
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54 for i in range(len(cols)):
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55 it = cols[i]
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56 colmap[it] = i
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57
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58 rowmap = {}
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59
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60 for i in range(len(rows)):
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61 it = rows[i]
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62 rowmap[it] = i
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63
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64 res = graph.query(
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65 """SELECT DISTINCT ?feature ?tool
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66 WHERE {
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67 ?x local:computedIn ?tool .
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68 ?x local:feature ?feature
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69 }
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70 ORDER BY ?feature""",
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71 initNs=dict(
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72 local=Namespace("http://sovarr.c4dm.eecs.qmul.ac.uk/features/")))
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73
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74 afmatrix = []
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75
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76 for i in range(len(rows)):
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77 row = []
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78 for j in range(len(cols)):
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79 row.append(0)
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80 afmatrix.append(row)
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81
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82 for it in res:
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83 afmatrix[rowmap[it[0]]][colmap[it[1]]] = 1
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84
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85
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86 #writeHTML('afmatrix.html', afmatrix, cols, rows )
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87 #writeWikiTable('featureToolWiki.txt', afmatrix, cols, rows )
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88 writeLatexTable('featureToolLatex.txt', afmatrix, cols, rows)
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89
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