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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.
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 your searches to a single field (e.g. search through "title ...
OpenSearchServer is an open-source application server allowing development of index-based applications such as search engines. Available since April 2009 on SourceForge for download, OpenSearchServer was developed under the GPL v3 license and offers a series of full text lexical analyzers. It can be installed on different platforms (Windows ...
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]
While suitable for any application that requires full text indexing and searching capability, Lucene is recognized for its utility in the implementation of Internet search engines and local, single-site searching. [10] [11] Lucene includes a feature to perform a fuzzy search based on edit distance. [12]
Full text search DokuWiki has an integrated indexed search with which a user can search for keywords and phrases on the wiki. Wiki markup DokuWiki uses a simple markup language similar to that of MediaWiki. Like MediaWiki it makes use of free links, but CamelCase links can optionally be enabled. WYSIWYG editors are available as plugins.
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Recoll is a desktop search tool that provides full-text search in a GUI with a few mandatory external dependencies. It runs on many Unix-like operating systems and is mostly independent of the desktop environment. Recoll has been ported to OS/2, [2] and is planned for integration into the OS/2-based ArcaOS. [3]