Lucene projects will be well represented at ApacheCon Europe in Amsterdam this year.
The Lucene PMC has approved the Lucy sub-project, and now that the mailing lists, repositories, and such are in place, we're rolling up our sleeves and getting to work.
This page may be of interest to you if you are a Javadeveloper who wants to (1) get to know the basics of using Lucene in combination with an (2) easy-to-follow explanatory text and (3) ready-to-use Java code.
Lucene is a text searchengine library written in Java (it has been ported to other languages as well).
and the path to the Lucene JAR file), then comes the indexer class name (including its package name wikipedia), then the file name of the article data, then the directory name where the index will be put.
Luceneindexes text, and part of the first step is cleaning up the text.
Lucene provides a couple different Analyzers, and you can make but your own, but the BIG GOTCHA people keep running into is that you must make sure you use the same sort of analyzer for indexing and for searching.
We've already seen that Lucene is a piece of cake to use, and the servlet/jsp stuff isn't much harder (unless you want to make it harder, which of course is possible to do).
Editor's note: We are rerunning this Introduction to Lucene that originally ran in July 2003 in honor of the publication of "Lucene in action" by Otis Gospodnetic and Erik Hatcher.
It is beyond the scope of this article to delve into Lucene scoring, but rest assured that its default behavior is plenty good enough for the majority of applications, and it can be customized in the rare cases that the default behavior is insufficient.
Lucene is probably one of the best pieces of software that I've come across in a long time.
Lucene(Site not responding. Last check: 2007-10-24)
Lucene is used to add search functionality to Web site which is one of the easiest ways to improve your user's experience, but integrating a searchengine with your application isn't necessarily very easy.
Lucene works with any kind of text data; however, there is no built-in support for Word, Excel, PDF, and XML.
Lucene accepts Document objects that represent a single piece of content, such as a Web page or a PDF file.
Although Lucene provides the ability to create your own queries through its API, it also provides a rich query language through the Query Parser, a lexer which interprets a string into a Lucene Query using JavaCC.
Lucene supports finding words are a within a specific distance away.
Lucene supports escaping special characters that are part of the query syntax.
Lucene, an open source project hosted by Apache, aims to produce high-performance full-text indexing and search software.
Although Lucene is well known for its full-text indexing, many developers are less aware that it can also provide powerful complementary searching, filtering, and sorting functionalities.
Lucene needs to create its own set of indexes, using your data, so it can perform high-performance full-text searching, filtering, and sorting operations on your data.
Keep in mind that Lucene is not a ready-to-use application, but rather an IR Library that lets you add searching and indexing functionality to your application.
Lucene doesn't provide a method to update the document in the index directly, but if you want to do so, first remove the documents from the index and then add the updated version of this document to the index.
A lecture on Lucene, presented by Doug Cutting at the University of Pisa on November 24, 2004: Explore this brief introduction to Lucene.
Lucene powers search in surprising places--in discussion groups at Fortune 100 companies, in commercial issue trackers, in email search from Microsoft, in the Nutch web searchengine (that scales to billions of pages).
Otis Gospodnetić is a Lucene committer, a member of Apache Jakarta Project Management Committee, and maintainer of the jGuru's Lucene FAQ.
Dr. Dobb's | Porting Lucene to .NET Using Visual J# | December 1, 2003(Site not responding. Last check: 2007-10-24)
The Lucene library must be callable from a C# console search application using the index files generated by the IndexFiles application.
The core Lucene source is decomposed into several directories, with each directory containing a functional area, such as search, data store, and so forth.
The first step in portingLucene is to generate a series of source files using the JavaCC tool, a Java-based parser generator application requiring the Java Runtime on the development machine (http://javacc.dev.java.net/).
Lucene Jdbc Directory: An implementation of LuceneDirectory to store the index within a database (using Jdbc).
It is difficult, especially for developers unfamiliar with Lucene, to understand how to perform operations against the index (while still having a performant system).
If OSEM is not required in the application, since it already has a domain model, or already works with Lucene, it is even simpler to work with Resources or migrate from Lucene to Compass.
Searching in Lucene is as fast and simple as indexing; the power of this functionality is astonishing, as chapters 3 and 5 will show you.
We instructed Indexer to create a Luceneindex in a build/index directory, relative to the directory from which we invoked Indexer.
Written by Otis Gospodnetic and Erik Hatcher and reproduced from "Lucene in Action" by permission of Manning Publications Co. ISBN 1932394281, copyright 2004.