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package eu.dnetlib.data.mapreduce.hbase.lodExport.utils.compators;
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import java.util.HashMap;
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import java.util.Map;
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public class RecordComparator {
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    private static final String LINE_SEPERATOR = "\t.\t";
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    private static final String FIELD_DELIM = "\t";
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    private static Map<String, String> sourceRecordMappings = new HashMap<>();
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    public static double computeSimilarity(DistanceAlgorithms algorithm, String source, String target) {
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        switch (algorithm) {
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            case LEVENSHTEIN:
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                return computeLevenshteinSimilarity(source, target);
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            case HAMMING:
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            default:
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                return computeDistanceSimilarity(source, target);
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        }
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    }
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    private static double computeDistanceSimilarity(String source, String target) {
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        Map<String, String> sourceRecordMap = getRecordsFiledMap(source);
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        Map<String, String> targetRecordMap = getRecordsFiledMap(target);
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        double totalFields = getTotalFields(sourceRecordMap, targetRecordMap);
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        double recordSimilarity = 0.0D;
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        int maxFieldLength = 1;
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        for (Map.Entry<String, String> sourceField : sourceRecordMap.entrySet()) {
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            String correspondingTargetField = sourceRecordMappings.get(sourceField.getKey());
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            String targetFieldValue = targetRecordMap.get(correspondingTargetField);
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            if (targetFieldValue != null) {
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                if (sourceField.getValue().length() > maxFieldLength) {
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                    maxFieldLength = sourceField.getValue().length();
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                }
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                if (targetFieldValue.length() > maxFieldLength) {
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                    maxFieldLength = targetFieldValue.length();
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                }
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                double fieldsSimilarity = DistanceCalculator.getSimpleDistance(sourceField.getValue(), targetFieldValue);
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                recordSimilarity += fieldsSimilarity;
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            }
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        }
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        return recordSimilarity / totalFields;
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    }
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    private static double getTotalFields(Map<String, String> sourceRecordMap, Map<String, String> targetRecordMap) {
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        return (double) (sourceRecordMap.size() > targetRecordMap.size() ? sourceRecordMap.size() : targetRecordMap.size());
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    }
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    private static double computeLevenshteinSimilarity(String source, String target) {
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        Map<String, String> sourceRecordMap = getRecordsFiledMap(source);
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        Map<String, String> targetRecordMap = getRecordsFiledMap(target);
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        double recordSimilarity = 0.0D;
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        int maxFieldLength = 1;
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        double totalFields = getTotalFields(sourceRecordMap, targetRecordMap);
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        for (Map.Entry<String, String> sourceField : sourceRecordMap.entrySet()) {
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            String correspondingTargetField = sourceRecordMappings.get(sourceField.getKey());
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            String targetFieldValue = targetRecordMap.get(correspondingTargetField);
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            if (targetFieldValue != null) {
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                if (sourceField.getValue().length() > maxFieldLength) {
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                    maxFieldLength = sourceField.getValue().length();
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                }
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                if (targetFieldValue.length() > maxFieldLength) {
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                    maxFieldLength = targetFieldValue.length();
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                }
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                double levenshteinDistance = DistanceCalculator.getLevenshteinDistance(sourceField.getValue(), targetFieldValue);
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                double longerStringSize = sourceField.getValue().length() > targetFieldValue.length() ? sourceField.getValue().length() : targetFieldValue.length();
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                double fieldsSimilarity = (longerStringSize - levenshteinDistance) / longerStringSize;
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                recordSimilarity += fieldsSimilarity;
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            }
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        }
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        return recordSimilarity / totalFields;
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    }
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    private static Map<String, String> getRecordsFiledMap(String source) {
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        String sourceRecord = source.substring(source.indexOf(FIELD_DELIM) + 1, source.length()).trim();
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        String[] sourceTriples = sourceRecord.split(LINE_SEPERATOR);
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        Map<String, String> sourceFieldsMap = new HashMap<>();
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        for (int i = 0; i < sourceTriples.length - 1; i++) {
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            String sourceTriple = sourceTriples[i];
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            String[] split = sourceTriple.split("\t");
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            if (split.length > 2) {
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                sourceFieldsMap.put(split[1], split[2]);
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            } else {
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                System.out.println("ERROR: Retrieved triples missing fields " + sourceTriple);
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            }
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        }
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        return sourceFieldsMap;
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    }
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    static {
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        sourceRecordMappings.put("<http://www.eurocris.org/ontologies/cerif/1.3#name>", "<http://www.w3.org/2000/01/rdf-schema#label>");
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        sourceRecordMappings.put("<http://lod.openaire.eu/vocab/year>", "<http://purl.org/dc/terms/issued>");
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        sourceRecordMappings.put("<http://purl.org/dc/terms/identifier>", "<http://purl.org/dc/terms/identifier>");
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    }
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    public static void main(String[] args) {
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        String target = "target_conf/clef/LarsonNJ08\tconf/clef/LarsonNJ08\t<http://www.w3.org/2000/01/rdf-schema#label>\tOverview of VideoCLEF 2008: Automatic Generation of Topic-Based Feeds for Dual Language Audio-Visual Content.\t.\t,";
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        String source = "source_<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://purl.org/dc/terms/identifier>\t\"od_______119::60f21cae791a925a78d0844ad00cea5a\"\t.\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://purl.org/dc/terms/identifier>\t\"oai:doras.dcu.ie:16187\"\t.\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://www.eurocris.org/ontologies/cerif/1.3#name>\t\"Overview of VideoCLEF 2008: Automatic generation of topic based feeds for dual language audio visual content\"\t.\t,";
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        /*
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        System.out.println("Hamming :" + RecordComparator.computeSimilarity(DistanceAlgorithms.HAMMING, source, target));
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        System.out.println("Lev :" + RecordComparator.computeSimilarity(DistanceAlgorithms.LEVENSHTEIN, source, target));
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        */
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        target = "target_conf/clef/LarsonNJ08\tconf/clef/LarsonNJ08\t<http://www.w3.org/2000/01/rdf-schema#label>\tOverview of VideoCLEF 2008: Automatic Generation of Topic-Based Feeds for Dual Language Audio-Visual Content.\t.\t,";
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        source = "source_<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://purl.org/dc/terms/identifier>\t\"od_______119::60f21cae791a925a78d0844ad00cea5a\"\t.\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://purl.org/dc/terms/identifier>\t\"oai:doras.dcu.ie:16187\"\t.\t<http://lod.openaire.eu/data/result/od_______119::60f21cae791a925a78d0844ad00cea5a>\t<http://www.eurocris.org/ontologies/cerif/1.3#name>\t\"Overview of VideoCLEF 2008: Automatic generation of topic based feeds for  visual content\"\t.\t,";
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        System.out.println("Hamming :" + RecordComparator.computeSimilarity(DistanceAlgorithms.HAMMING, source, target));
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        System.out.println("Lev :" + RecordComparator.computeSimilarity(DistanceAlgorithms.LEVENSHTEIN, source, target));
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    }
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}
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