Package uk.ac.gla.terrier.structures.indexing

Provides the classes used for creating the data structures of the Terrier platform.

See:
Description

Class Summary

BlockDirectIndexBuilder	Builds a direct index using block and possibly field information.
BlockDocumentPostingList	Represents the postings of one document, and saves block (term position) information.
BlockInvertedIndexBuilder	Builds an inverted index saving term-block information.
BlockLexiconBuilder	Builds a block lexicon using block frequencies.
BlockLexiconMap	LexiconMap implementation that also keeps track of the number of blocks that a term occurrs in.
DirectIndexBuilder	Builds a direct index, using field information optionally.
DocumentIndexBuilder	A builder for the document index.
DocumentInitialWeightIndex	This class implements a data structure for the term estimate (P_{avg}) of language modelling approach to IR.
DocumentPostingList	Represents the postings of one document.
InvertedIndexBuilder	Builds an inverted index.
LexiconBuilder	Builds temporary lexicons during indexing a collection and merges them when the indexing of a collection has finished.
LexiconMap	This class keeps track of the total counts of terms within a bundle of documents being indexed.
TermEstimateIndex	This class implements a data structure for the term estimate (P_{avg}) of language modelling approach to IR.
UTFBlockInvertedIndexBuilder	Builds an inverted index using block information, where indexing lexicon is a UTFBlock lexicon.
UTFBlockLexiconBuilder	Builds a block lexicon using block frequencies.
UTFInvertedIndexBuilder	Builds a UTF inverted index, using field information optionally.
UTFLexiconBuilder	Builds temporary lexicons during indexing a collection and merges them when the indexing of a collection has finished.

Package uk.ac.gla.terrier.structures.indexing Description

Provides the classes used for creating the data structures of the Terrier platform.

These include the builders of the inverted index, the direct index, the lexicon and the document index.