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Lucerne Mac OS

Lucerne Mac OS

May 24 2021

Lucerne Mac OS

Apple Stores in Luzern Data Quest Ag Data Quest Ag Pilatusstrasse 18 6003 Luzern phone +41 41 248 50 70; website n/a; Apple Computers yes; iPad Store yes; iPod Store yes; Mac Computer repairs yes; Distance from Luzern, CH: 100 meters. A POETRY READING OF DR. JOSE RIZAL'S 'EL CANTO DEL VIAJERO' IN COMMEMORATION OF THE 159TH BIRTH ANNIVERSARY OF DR. Sarah Andrea Aquino Samson-Banaag reads Dr. Jose Rizal's 'El Canto del Viajero' in Spanish and its Filipino translation entitled 'Awit ng Manlalakbay'. Oakville, Ontario, Canada - February 12, 2008 - Lucerne Systems announces the immediate availability of Horizon 1.4 for Mac OS X. Horizon is the unique, calendar-based personal finance system developed by Lucerne Systems. Version 1.4 adds category groups to the category list, along with a number of bug fixes and performance improvements.

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Lucerne Map And Walking Tours free download, and many more programs. 15 National Parks and Offline OS Maps. Horizon has been called ' undeniably good value,' by MacUser UK, and 'a simple and easy to use product, ' by Surf-Bits Mac Review. 'Three new features make Horizon even more compelling,' said Iain Delaney, Lucerne Systems President. 'The weekly view, category comments, and cell comments make Horizon even more useful and powerful.'

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(Redirected from Lucene)
Lucene
Developer(s)Apache Software Foundation
Initial release1999; 22 years ago
Stable release
Repository
Written inJava
Operating systemCross-platform
TypeSearch and index
LicenseApache License 2.0
Websitelucene.apache.org

Apache Lucene is a free and open-sourcesearch enginesoftware library, originally written completely in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License.

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Lucene has been ported to other programming languages including Object Pascal, Perl, C#, C++, Python, Ruby and PHP.[2]

History[edit]

Doug Cutting originally wrote Lucene in 1999.[3] Lucene was his fifth search engine, having previously written two while at Xerox PARC, one at Apple, and a fourth at Excite.[4] 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.[5]

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.[6]

In March 2021, Lucene changed its logo, and Apache Solr became a top level Apache project again, independant from Lucene.

Features and common use[edit]

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.[7][8]

Lucene includes a feature to perform a fuzzy search based on edit distance.[9]

Lucene has also been used to implement recommendation systems.[10] 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.[11] In contrast, citation-based document similarity measures tended to be more suitable for recommending more broadly related documents,[11] 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[edit]

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[citation needed]
  • Apache Solr – an enterprise search server
  • Compass – the predecessor to Elasticsearch[12]
  • CrateDB – open source, distributed SQL database built on Lucene[13]
  • DocFetcher – a multiplatform desktop search application[citation needed]
  • Elasticsearch – an enterprise search server released in 2010[14]
  • Kinosearch – a search engine written in Perl and C[15] and a loose port of Lucene.[16] The Socialtext wiki software uses this search engine,[15] and so does the MojoMojo wiki.[17] It is also used by the Human Metabolome Database (HMDB)[18] and the Toxin and Toxin-Target Database (T3DB).[19]
  • MongoDB Atlas Search - a cloud-native enterprise search application based on MongoDB and Apache Lucene
  • Swiftype – an enterprise search startup based on Lucene

See also[edit]

References[edit]

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  1. ^'Welcome to Apache Lucene'. Lucene™ News section. Archived from the original on 12 February 2020. Retrieved 12 February 2020.
  2. ^'LuceneImplementations'. apache.org. Archived from the original on 6 October 2015. Retrieved 23 September 2015.
  3. ^KeywordAnalyzer'Better Search with Apache Lucene and Solr'(PDF). 19 November 2007. Archived from the original(PDF) on 31 January 2012.
  4. ^Cutting, Doug (2019-06-07). 'I wrote a couple of search engines at Xerox PARC, then V-Twin at Apple, then re-wrote Excite's search, then Lucene. So, Lucene might be considered V-Twin 3.0? Almost 25 years later, V-Twin still lives on as Mac OS X Search Kit!'. @cutting. Retrieved 2019-06-19.
  5. ^Barker, Deane (2016). Web Content Management. O'Reilly. p. 233. ISBN978-1491908105.
  6. ^'Apache Lucene - Welcome to Apache Lucene'. apache.org. Archived from the original on 4 February 2016. Retrieved 4 February 2016.
  7. ^McCandless, Michael; Hatcher, Erik; Gospodnetić, Otis (2010). Lucene in Action, Second Edition. Manning. p. 8. ISBN978-1933988177.
  8. ^'GNU/Linux Semantic Storage System'(PDF). glscube.org. Archived from the original(PDF) on 2010-06-01.
  9. ^'Apache Lucene - Query Parser Syntax'. lucene.apache.org. Archived from the original on 2017-05-02.
  10. ^J. Beel, S. Langer, and B. Gipp, “The Architecture and Datasets of Docear’s Research Paper Recommender System,” in Proceedings of the 3rd International Workshop on Mining Scientific Publications (WOSP 2014) at the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014), London, UK, 2014
  11. ^ abM. Schwarzer, M. Schubotz, N. Meuschke, C. Breitinger, V. Markl, and B. Gipp, https://www.gipp.com/wp-content/papercite-data/pdf/schwarzer2016.pdf 'Evaluating Link-based Recommendations for Wikipedia' in Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), New York, NY, USA, 2016, pp. 191-200.
  12. ^'The Future of Compass & Elasticsearch'. the dude abides. Archived from the original on 2015-10-15. Retrieved 2015-10-14.
  13. ^Wayner, Peter. '11 cutting-edge databases worth exploring now'. InfoWorld. Archived from the original on 21 September 2015. Retrieved 21 September 2015.
  14. ^'Elasticsearch: RESTful, Distributed Search & Analytics - Elastic'. elastic.co. Archived from the original on 8 October 2015. Retrieved 23 September 2015.
  15. ^ abNatividad, Angela. 'Socialtext Updates Search, Goes Kino'. CMS Wire. Archived from the original on 2012-09-29. Retrieved 2011-05-31.
  16. ^Marvin Humphrey. 'KinoSearch - Search engine library. - metacpan.org'. p3rl.org. Retrieved 23 September 2015.
  17. ^Diment, Kieren; Trout, Matt S (2009). 'Catalyst Cookbook'. The Definitive Guide to Catalyst. Apress. p. 280. ISBN978-1-4302-2365-8.
  18. ^Wishart, D. S.; et al. (January 2009). 'HMDB: a knowledgebase for the human metabolome'. Nucleic Acids Res.37 (Database issue): D603–10. doi:10.1093/nar/gkn810. PMC2686599. PMID18953024.
  19. ^Lim, Emilia; Pon, Allison; Djoumbou, Yannick; Knox, Craig; Shrivastava, Savita; Guo, An Chi; Neveu, Vanessa; Wishart, David S. (January 2010). 'T3DB: a comprehensively annotated database of common toxins and their targets'. Nucleic Acids Res. 38 (Database issue): D781–6. doi:10.1093/nar/gkp934. PMC2808899. PMID19897546.

Bibliography[edit]

Mac Os Catalina

  • Gospodnetic, Otis; Erik Hatcher; Michael McCandless (28 June 2009). Lucene in Action (2nd ed.). Manning Publications. ISBN978-1-9339-8817-7.
  • Gospodnetic, Otis; Erik Hatcher (1 December 2004). Lucene in Action (1st ed.). Manning Publications. ISBN978-1-9323-9428-3.

External links[edit]

Lucerne Mac Os X

Retrieved from 'https://en.wikipedia.org/w/index.php?title=Apache_Lucene&oldid=1021008415'

Lucerne Mac OS

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