- Source: Apache Lucene
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.
Lucene has been ported to other programming languages including Object Pascal, Perl, C#, C++, Python, Ruby and PHP.
History
Doug Cutting originally wrote Lucene in 1999. Lucene was his fifth search engine. He had previously written two while at Xerox PARC, one at Apple, and a fourth at Excite. It was initially available for download from its home at the SourceForge web site. It joined the Apache Software Foundation's Jakarta family of open-source Java products in September 2001 and became its own top-level Apache project in February 2005. The name Lucene is Doug Cutting's wife's middle name and her maternal grandmother's first name.
Lucene formerly included a number of sub-projects, such as Lucene.NET, Mahout, Tika and Nutch. These three are now independent top-level projects.
In March 2010, the Apache Solr search server joined as a Lucene sub-project, merging the developer communities.
Version 4.0 was released on October 12, 2012.
In March 2021, Lucene changed its logo, and Apache Solr became a top level Apache project again, independent from Lucene.
Features and common use
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.
Lucene includes a feature to perform a fuzzy search based on edit distance.
Lucene has also been used to implement recommendation systems. For example, Lucene's 'MoreLikeThis' Class can generate recommendations for similar documents. In a comparison of the term vector-based similarity approach of 'MoreLikeThis' with citation-based document similarity measures, such as co-citation and co-citation proximity analysis, Lucene's approach excelled at recommending documents with very similar structural characteristics and more narrow relatedness. In contrast, citation-based document similarity measures tended to be more suitable for recommending more broadly related documents, meaning citation-based approaches may be more suitable for generating serendipitous recommendations, as long as documents to be recommended contain in-text citations.
Lucene-based projects
Lucene itself is just an indexing and search library and does not contain crawling and HTML parsing functionality. However, several projects extend Lucene's capability:
Apache Nutch – provides web crawling and HTML parsing
Apache Solr – an enterprise search server
CrateDB – open source, distributed SQL database built on Lucene
DocFetcher – a multiplatform desktop search application
Elasticsearch – an enterprise search server released in 2010
Kinosearch – a search engine written in Perl and C and a loose port of Lucene. The Socialtext wiki software uses this search engine, and so does the MojoMojo wiki. It is also used by the Human Metabolome Database (HMDB) and the Toxin and Toxin-Target Database (T3DB).
MongoDB Atlas Search – a cloud-native enterprise search application based on MongoDB and Apache Lucene
OpenSearch – an open source enterprise search server based on a fork of Elasticsearch 7
Swiftype – an enterprise search startup based on Lucene
See also
Enterprise search
Information extraction
List of information retrieval libraries
Text mining
References
Bibliography
Gospodnetic, Otis; Erik Hatcher; Michael McCandless (28 June 2009). Lucene in Action (2nd ed.). Manning Publications. ISBN 978-1-9339-8817-7.
Gospodnetic, Otis; Erik Hatcher (1 December 2004). Lucene in Action (1st ed.). Manning Publications. ISBN 978-1-9323-9428-3.
External links
Official website
Kata Kunci Pencarian:
- Apache Software Foundation
- Graph database
- Apache Lucene
- Apache Solr
- Elasticsearch
- List of Apache Software Foundation projects
- Apache Nutch
- Vector space model
- Azure Cognitive Search
- List of artificial intelligence projects
- List of search engine software
- Full-text search