nothing@1: import rdflib
nothing@1: from rdflib import Graph, RDF, RDFS, plugin, URIRef, Literal, OWL
nothing@1: 
nothing@1: abbr = {
nothing@1: 	"Zero Crossing Rate": "ZCR",
nothing@1: 	"Mel-scale Frequency Cepstral Coefficients": "MFCC",
nothing@1:     "Linear Predictive Coding": "LPC",
nothing@1:     "Linear Prediction Cepstral Coefficients": "LPCC",
nothing@1:     "Zero Crossing Peak Amplitudes": "ZCPA",
nothing@1:     "Line Spectral Frequencies": "LSF",
nothing@1:     "Short-Time Energy": "STE",
nothing@1:     "Amplitude Descriptor":  "AD",
nothing@1:     "Adaptive Time Frequency Transform": "ATFT",
nothing@1:     "Daubechies Wavelet Coefficient Histogram": "DWCH",
nothing@1:     "Spectral Flux": "SF",
nothing@1:     "Group Delay Function": "GDF",
nothing@1:     "Modified Group Delay Function": "MGDF",
nothing@1:     "Spectral Centroid": "SC",
nothing@1:     "Subband Spectral Flux": "SSF",
nothing@1:     "Perceptual Linear Prediction": "PLP",
nothing@1:     "Linear Spectral Pairs": "LSP",
nothing@1:     "Average Magnitude Difference Function": "AMDF",
nothing@1:     "Octave Band Signal Intensity": "OBSI",
nothing@1:     "Root Mean Square": "RMS",
nothing@18:     "Harmonic Pitch Class Profile": "HPCP",
nothing@18:     "SignalToNoiseRatio": "SNR"
nothing@1: }
nothing@1: 
nothing@1: synonyms = {
nothing@1:     "Mel-scale Frequency Cepstral Coefficients": ["Mel Frequency Cepstral Coefficients", "Mel-Frequency Cepstral Coefficients", "Coefficients", "Mfcc"],
nothing@1:     "Spectral Kurtosis": ["Kurtosis", "Spectral kurtosis"],
nothing@1:     "Spectral Rolloff": ["Rolloff", "Spectral Rolloff Point"],
nothing@1:     "Zero Crossing Rate": ["Zero Crossing", "Zcr", "Zero Crossings"],
nothing@1:     "Spectral Skewness": ["Skewness", "Spectral skewness"],
nothing@1:     "Spectral Flux": ["Flux"],
nothing@1:     "Spectral Centroid": ["Centroid", "Spectral centroid"],
nothing@1:     "Spectral Slope": ["Spectral slope"],
nothing@1:     "Spectral Flatness": ["Spectral Flatness Measure", "Flatness"],
nothing@1:     "Harmonic Spectrum": ["Harmonic spectrum"],
nothing@1:     "Average Magnitude Difference Function": ["Amdf"],
nothing@18:     "Average Squared Difference Function": ["Asdf"],
nothing@1:     "AutoCorrelation": ["Autocorrelation"],
nothing@1:     "PeakSpectrum": ["Peak spectrum"],
nothing@1:     "Spectral Spread": ["Spread"],
nothing@1:     "Spectral Crest": ["Spectral Crest Measure"],
nothing@18:     "Onset Detection Function": ["Onset", "Onsets", "Onset Detector"],
nothing@18:     "Root Mean Square": ["Rms"],
nothing@18:     "Note Tracker": ["Aubio Note Tracker"],
nothing@18:     "Pitch": ["Aubio Pitch Detector"],
nothing@18:     "Silence Test": ["Aubio Silence Detector"],
nothing@18:     "AutoCorrelationFFT": ["Autocorrelationfft"],
nothing@18:     "Average Deviation": ["Average deviation"],
nothing@18:     "Bark Coefficients": ["Bark coefficients"],
nothing@18:     "Beat Spectrum": ["Beat Spectra"],
nothing@18:     "Beat Tracker": ["Beat Tracking", "BeatTracking" "BeatTrack", "Beat Track", "BeatTrack2", "Beats", "Aubio Beat Tracker"],
nothing@18:     "Complex Domain Onset Detection": ["Complex Domain Method Onset Detection Function"],
nothing@18:     "Discrete Cosine Transform": ["Dct"],
nothing@18:     "Funcdamental Frequency": ["F0", "Failsafef0"],
nothing@18:     "HighestValue": ["Highest value"],
nothing@18:     "Harmonic Product Spectrum": ["Hps"],
nothing@18:     "Key Detector": ["KeyTrack"],
nothing@18:     "KrumhanslKeyFinder": ["Krumhansl_key_finder"],
nothing@18:     "L-Norm": ["Lnorm"],
nothing@18:     "Lowest Value": ["Lowest value"],
nothing@18:     "MELODIAMelodyExtraction": ["MELODIAMelodyExtractionintermediatesteps"],
nothing@18:     "MIDI Note": ["MIDI"],
nothing@18:     "Note Onset Detector": ["Note Onsets", "Note Onset"],
nothing@18:     "Octave Band Signal Intensity Ratio": ["OBSIR"],
nothing@18:     "OddToEvenHarmonicRatio": ["Oddtoevenharmonicratio"],
nothing@18:     "OddEvenRatio": ["Oddevenratio"],
nothing@18:     "Pitch Countours": ["PitchContours:All", "PitchContours:Melody"],
nothing@18:     "PitchFFTYIN": ["PitchFftYin"],
nothing@18:     "PitchYIN": ["PitchYin", "Yin", "AubioYin"],
nothing@18:     "Rhythm Patterns": ["RhythmPattern"],
nothing@18:     "RMSAmplitude": ["Rmsamplitude"],
nothing@18:     "Spectral Shape": ["Spectral Shape Descriptors"],
nothing@18:     "Spectral Variance": ["Spectral Variation", "Spectralvariance"],
nothing@18:     "Spectral Average Deviation": ["Spectralaveragedeviation"],
nothing@18:     "Spectral Inharmonicity": ["Spectralinharmonicity"],
nothing@18:     "Spectral Mean": ["Spectralmean"],
nothing@18:     "Spectral Standard Deviation": ["Spectralstandarddeviation"],
nothing@18:     "Standard Deviation": ["Standarddeviation"],
nothing@18:     "Tristimulus1": ["TristimulusI"],
nothing@18:     "Tristimulus2": ["TristimulusII"],
nothing@18:     "Tristimulus3": ["TristimulusIII"],
nothing@18:     "Even Harmonic Ratio": ["evenHarmonicRatio"]
nothing@1: }
nothing@1: 
nothing@1: execfile('/Users/alo/Development/python-Levenshtein-0.10.2/StringMatcher.py')
nothing@1: 
nothing@1: def checkSynonyms( name ):
nothing@1:     rtn = ""
nothing@1:     for key, syns in synonyms.items():
nothing@1:         for item in syns:
nothing@4:             if name.replace(' ', '').replace('-', '').lower() == item.replace(' ', '').replace('-', '').lower():
nothing@1:                 rtn = key.replace(' ', '').replace('-', '')
nothing@1:                 break
nothing@1:     return rtn
nothing@1:     
nothing@1: def checkAbbreviations( name ):
nothing@1:     rtn = ""
nothing@1:     for key, ab in abbr.items(): 
nothing@1:         if name.replace(' ', '').replace('-', '').lower() == ab.replace(' ', '').replace('-', '').lower():
nothing@1:             rtn = key.replace(' ', '').replace('-', '')
nothing@1:             break
nothing@1:     return rtn
nothing@1:     
nothing@1: 
nothing@1: def loadBase( graph, path ):
nothing@1:     graph.parse(path)
nothing@1:     for su, pr in graph.subject_predicates(OWL.Class):
nothing@1:         graph.add((su, RDFS.subClassOf, URIRef(ns+'AudioFeature')))
nothing@1: 
nothing@1: def addBaseTriples( graph, ns ):
nothing@1:     graph.add((
nothing@1:         URIRef(ns+'Signal'),
nothing@1:         RDF.type,
nothing@1:         OWL.Class
nothing@1:     ))
nothing@1:     
nothing@1:     graph.add((
nothing@1:         URIRef(ns+'Feature'),
nothing@1:         RDF.type,
nothing@1:         OWL.Class
nothing@1:     ))
nothing@1: 
nothing@1:     graph.add((
nothing@1:         URIRef(ns+'AudioFeature'),
nothing@1:         RDFS.subClassOf,
nothing@1:         URIRef(ns+'Signal')
nothing@1:     ))
nothing@1: 
nothing@1:     
nothing@1: def addTriplesFromFile( graph, path, ns ):
nothing@1:     loc = Graph()
nothing@1:     loc.parse(path)
nothing@1:     
nothing@1:     for su in loc.subjects(RDF.type, RDFS.Resource):
nothing@1:         name = su.split('/')[-1]
nothing@1:         
nothing@1:         ids = ""
nothing@1:         
nothing@1:         ids = checkSynonyms(name)
nothing@1:         
nothing@1:         if ids == "":
nothing@1:             ids = checkAbbreviations(name)
nothing@1:                 
nothing@1:         if ids == "":
nothing@1:             ids = name.replace(' ','').replace('-','')
nothing@1:         
nothing@1:         graph.add((
nothing@1:             URIRef(ns + ids), 
nothing@1:             RDF.type, 
nothing@1:             OWL.Class
nothing@1:         ))
nothing@1:         graph.add((
nothing@1:             URIRef(ns + ids), 
nothing@1:             RDFS.subClassOf,
nothing@1:             URIRef(ns+'AudioFeature')
nothing@1:         ))
nothing@1:         for pr, ob in loc.predicate_objects(su):
nothing@1:             if ob != RDFS.Resource:
nothing@1:                 graph.add(( URIRef(ns + ids), pr, ob ))
nothing@1:         
nothing@1:         graph.add(( URIRef(ns + ids), URIRef(ns+'computedIn'), Literal(path.split('/')[-1][3:-4]) ))
nothing@1: 
nothing@1: 
nothing@1: def compareForSimilarities( graph, ns, threshold=0.75 ):
nothing@1:     for s, p in graph.subject_predicates(OWL.Class):
nothing@1:         for ss, pp in graph.subject_predicates(OWL.Class):
nothing@1:             it = s.split('/')[-1] 
nothing@1:             other = ss.split('/')[-1]
nothing@1:             if s != ss:
nothing@1:                 m = StringMatcher()
nothing@1:                 m.set_seqs(it, other)
nothing@1:                 score = float(m.distance()) / ((len(it) + len(other)) / 2.0)
nothing@1:                 if score < (1 - threshold):
nothing@1:                     graph.add((s, URIRef(ns + 'similarTo'), ss))
nothing@1:                     #graph.add((s, URIRef(ns + 'similarity'), Literal(1.0-score)))
nothing@1: