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Suche mit Apache Lucene & Co Christian Meder - inovex GmbH PDF

134 Pages·2013·1.05 MB·English
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Preview Suche mit Apache Lucene & Co Christian Meder - inovex GmbH

Suche mit Apache Lucene & Co Christian Meder Bernhard Pflugfelder inovex Gmbh Speaker Christian Meder Background ‣  open source (free software) ‣  Linux ‣  Web ‣  Java ‣  Android ‣  CTO@inovex ‣  Christian Meder 2 Speaker Bernhard Pflugfelder Background ‣  Lucene ‣  Solr ‣  Text Mining Technologies, Information Retrieval ‣  Hadoop ‣  Java ‣  Big Data Engineer@inovex ‣  [email protected] 3 Agenda Session I ‣  09:00 - 09:30 Introduction, Search in a nutshell ‣  09:30 - 10:00 Solr Exercise 1: Installation, Web Admin Interface ‣  10:00 - 10:30 Solr Exercise 2: Indexing, Queries I ‣  10:30 - 11:00 Coffee Break ‣  11:30 - 12:00 Solr Exercise 3: Data ingestion XML / SQL, Queries II 4 Agenda Session II ‣  12:00 - 12:30 Solr Exercise 4: Schema, Data types, Analyzers, Stemming ‣  12:30 – 13:30 Lunch ‣  13:30 - 14:00 Solr Exercise 5: Facet search, Filter search, Interval search ‣  14:00 - 14:30 Solr Exercise 6: Dismax, Autosuggestion, MoreLikeThis 5 Agenda Session III ‣  14:30 - 15:00 ES Exercise 1: Installation, Indexing, Queries I ‣  15:00 - 15:30 Coffee Break ‣  15:30 - 16:00 ES Exercise 2: Schema, Data types, Analyzers, Queries II ‣  16:00 - 16:30 ES Exercise 3: Data ingestion SQL / XML ‣  16:30 - 17:00 ES Exercise 4: Facet search, Filter search, Interval search 6 Introduction Search tag cloud 7 Introduction Classical search applications ‣  Classical search applications are applications focusing on information or document retrieval ‣  Requirement: find information the user asks for! ‣  Some examples: ‣  Web search ‣  Enterprise search ‣  Document search (within DMS or CMS) ‣  Search on portals and archives ‣  Product search ‣  Specialized searches for people, companies, etc. 8 Introduction Where search is in Enterprise Search 9 Introduction Where search is in Online shops 10

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Dec 31, 1995 Out-of-box support for JSON, XML, CSV/delimited-text, DBMS. ‣ Support of PDF, DOC, XLS, PPT, HTML. ‣ Declarative Lucene Analyzer
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