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Apache License 2.0. Website. lucene.apache.org. 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. Lucene is widely used as a standard foundation for production search applications ...
Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is triple-licensed under the (source-available) Server Side Public License, the Elastic license, and the Affero ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa
Google Search (also known simply as Google or Google.com) is a search engine operated by Google. It allows users to search for information on the Internet by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.
The Lemur Project is a collaboration between the Center for Intelligent Information Retrieval at the University of Massachusetts Amherst and the Language Technologies Institute at Carnegie Mellon University. The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development ...
Website. www.opensearch.org. OpenSearch is a family of software consisting of a search engine (also named OpenSearch), and OpenSearch Dashboards, a data visualization dashboard for that search engine. [2] It is is an open-source project developed by the OpenSearch Software Foundation (a Linux Foundation project) written primarily in Java.
Full-text search. In text retrieval, full-text search refers to techniques for searching a single computer -stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or ...
The main source of disagreement was the format of the search engine, with German engineers favoring a text-based search engine and the French engineers favoring a multimedia search engine. Many German engineers also balked at what they thought was becoming too much of an anti-Google project, rather than a project driven by its own ideals. [12]