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Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting.It is supported by the Apache Software Foundation and is released under the Apache Software License.
Carrot² [1] is an open source search results clustering engine. [2] It can automatically cluster small collections of documents, e.g. search results or document abstracts, into thematic categories. Carrot² is written in Java and distributed under the BSD license.
In C++ it is part of the Standard Library since C++17 and Boost provides the generic Boyer–Moore search implementation under the Algorithm library. In Go (programming language) there is an implementation in search.go. D (programming language) uses a BoyerMooreFinder for predicate based matching within ranges as a part of the Phobos Runtime ...
Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2].NET [3] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7]
A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet ( finite set ) Σ.
Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages. Solr's external configuration allows it to be tailored to many types of applications without Java coding ...
A specialized kind of trie called a compressed trie, is used in web search engines for storing the indexes - a collection of all searchable words. [31] Each terminal node is associated with a list of URLs —called occurrence list—to pages that match the keyword.
The search engine can organize the large number of Web pages in the search results, according to the potential categories of the issued query, for the convenience of Web users' navigation. Vertical search, compared to general search, focuses on specific domains and addresses the particular information needs of niche audiences and professions ...