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Tagging allows indexing codes to be embedded in the text after the indexing is complete. The indexer inserts numbered dummy tags in the files, and then builds the index separately; Many word processors and desktop publishing software have integrated automated indexing functions. These tools build a concordance or word lists from processed files.
Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. [3]
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.
GUI Boolean search build tool. Xesam query language support. Word stemming is performed at query time (you can switch stemming language after indexing). Multiple indexes are selectable at query time (i.e., personal + system indexes). Natively based on Unicode.
How much computer storage is required to support the index. Lookup speed How quickly a word can be found in the inverted index. The speed of finding an entry in a data structure, compared with how quickly it can be updated or removed, is a central focus of computer science. Maintenance How the index is maintained over time. [6] Fault tolerance
An IFilter acts as a plug-in for extracting full-text and metadata for search engines. A search engine usually works in two steps: [2] [3] The search engine goes through a designated place, e.g. a file folder or a database, and indexes all documents or newly modified documents, including the various types documents, in the background and creates internal data to store indexing result.
In general the higher the indexing exhaustivity, the more terms indexed for each document. In recent years free text search as a means of access to documents has become popular. This involves using natural language indexing with an indexing exhaustively set to maximum (every word in the text is indexed). These methods have been compared in some ...
Archie is a tool for indexing FTP archives, allowing users to more easily identify specific files. It is considered the first Internet search engine. [2] The original implementation was written in 1990 by Alan Emtage, then a postgraduate student at McGill University in Montreal, Canada.
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