Uses of Class
de.hpi.fgis.voidgen.hadoop.Driver

Packages that use Driver
de.hpi.fgis.voidgen.hadoop Contains the entry point for running the different tasks for generating VoID descriptions. 
de.hpi.fgis.voidgen.hadoop.closure Contains the classes for creating the transitive closure of graph based data via Hadoop MapReduce using the transitive closure algorithm developed for the BTC 2010 by Dandy Fenz and Matthias Pohl. 
de.hpi.fgis.voidgen.hadoop.tasks This package collects all tasks used for creating VoID descriptions. 
 

Uses of Driver in de.hpi.fgis.voidgen.hadoop
 

Subclasses of Driver in de.hpi.fgis.voidgen.hadoop
 class Start
          This class is the user client (provides the interface to the user) for running the generation of VoID descriptions on a Hadoop MapReduce cluster.
 

Uses of Driver in de.hpi.fgis.voidgen.hadoop.closure
 

Subclasses of Driver in de.hpi.fgis.voidgen.hadoop.closure
 class ClosureDriver
           This class encapsulates the execution of MapReduce jobs for calculation of the transitive closure of the vertices within a graph.
 

Uses of Driver in de.hpi.fgis.voidgen.hadoop.tasks
 

Subclasses of Driver in de.hpi.fgis.voidgen.hadoop.tasks
 class ClusterDescription
          Generates the textual description of clusters.
 class ClusteringConnectionBased
          Clusters the input RDF quadruples according to the structure of the graph of interlinked resources.
 class ClusteringUriBased
          Clusters the input data only dependent on the subject and object URI.
 class ClusterPatterns
          Creates the patterns of entities of the different clusters.
 class ClusterQuadrupleJoin
          For each RDF quadruple of the input, the cluster the subject belongs to and the cluster the object belongs to, will be set.
 class ClusterSizeDriver
          Counts for each cluster the number of unique nodes belonging to this cluster.
 class DataSetDescription
          The driver for aggregating all cluster data created by various MapReduce jobs.
 class DistinctClustering
          Selects a single concept type for each subject and assigns the resource to the respective data set.
 class InputStatistics
          Reads all RDF quadruples of the input and counts the distinct subjects, predicates, objects, contexts and resources.
 class KSimilarity
          Finds k-similiar subjects.
 class LinkSetDetection
          Detects and counts link-sets between different data-sets.
 class ToVoid
          This class provides converting data set descriptions to data set descriptions in VoID format.
 class VocabularyDetection
          Identifies and counts all the vocabularies used in the processed data-set.