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See:
Description
Class Summary | |
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ClusterDescription | Generates the textual description of clusters. |
ClusteringConnectionBased | Clusters the input RDF quadruples according to the structure of the graph of interlinked resources. |
ClusteringUriBased | Clusters the input data only dependent on the subject and object URI. |
ClusterPatterns | Creates the patterns of entities of the different clusters. |
ClusterQuadrupleJoin | For each RDF quadruple of the input, the cluster the subject belongs to and the cluster the object belongs to, will be set. |
ClusterSizeDriver | Counts for each cluster the number of unique nodes belonging to this cluster. |
DataSetDescription | The driver for aggregating all cluster data created by various MapReduce jobs. |
DistinctClustering | Selects a single concept type for each subject and assigns the resource to the respective data set. |
InputStatistics | Reads all RDF quadruples of the input and counts the distinct subjects, predicates, objects, contexts and resources. |
KSimilarity | Finds k-similiar subjects. |
LinkSetDetection | Detects and counts link-sets between different data-sets. |
ToVoid | This class provides converting data set descriptions to data set descriptions in VoID format. |
VocabularyDetection | Identifies and counts all the vocabularies used in the processed data-set. |
This package collects all tasks used for creating VoID descriptions.
The initial input for most of the tasks are RDF quadruples stored in N-Quad format.
The following diagram shows the different tasks and
which tasks have to be executed before other tasks.
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