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In computer science, an FM-index is a compressed full-text substring index based on the Burrows–Wheeler transform, with some similarities to the suffix array.It was created by Paolo Ferragina and Giovanni Manzini, [1] who describe it as an opportunistic data structure as it allows compression of the input text while still permitting fast substring queries.
Sphinx is configured to examine a data set via its Indexer. The Indexer process creates a full-text index (a special data structure that enables quick keyword searches) from the given data/text. Full-text fields are the resulting content that is indexed by Sphinx; they can be (quickly) searched for keywords. Fields are named, and you can limit ...
The following is a partial list of available software products whose predominant purpose is to perform full-text indexing and searching. Some of these are accompanied with detailed descriptions of their theory of operation or internal algorithms, which can provide additional insight into how full-text search may be accomplished.
Multiple indexes are selectable at query time (i.e., personal + system indexes). Natively based on Unicode. Supports many languages and character sets, [which?] including good support for East Asian texts . MD5 document hashes for the elimination of duplicates in results. Batch and real-time indexing modes. Python API.
Search engine indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval.Index design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer science.
Insertion into trie is guided by using the character sets as indexes to the children array until the last character of the string key is reached. [ 14 ] : 733-734 Each node in the trie corresponds to one call of the radix sorting routine, as the trie structure reflects the execution of pattern of the top-down radix sort.
reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
It enables searching by content, using document content indexing. LogicalDOC has currently been localized in 15 languages. LogicalDOC can be set up to support distinct full-text indexes for each supported language in order to apply specific indexing algorithms tailored to a particular language or variant. Document Management