基于lucene的圖書(shū)搜索引擎的設(shè)計(jì)與實(shí)現(xiàn)外文文獻(xiàn)-閱讀頁(yè)
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【正文】 ilarly, with Lucene’s help you can index data stored in your databases, giving your users fulltext search capabilities that many databases don’t provide. Once you integrate Lucene, users of your applications can make searches such as +Gee +Rice eat pudding, Apple – pie +Tiger, animal:monkey AND food:banana, and so on. With Lucene, you can index and search messages, mailinglist archives, instant messenger chats, your Wiki pages ? the list goes on. History of Lucene Lucene was originally written by Doug Cutting。 section includes a case study of how Nutch leverages Lucene. Doug Cutting remains the main force behind Lucene, but more bright minds have joined the project since Lucene’s move under the Apache Jakarta umbrella. At the time of this writing, Lucene’s core team includes about half a dozen active developers, two of whom are authors of this book. In addition to the official project developers, Lucene has a fairly large and active technical user munity that frequently contributes patches, bug fixes, and new features. Who uses Lucene Who doesn’t? In addition to those anizations mentioned on the Powered by Lucene page on Lucene’s Wiki, a number of other large, wellknown, multinational anizations are using Lucene. It provides searching capabilities for the Eclipse IDE, the Encyclopedia Britannica CDROM/DVD, FedEx, the Mayo Clinic, HewlettPackard, New Scientist magazine, Epiphany, MIT’s OpenCourseware and DSp ace, Akamai’s EdgeComputing platform, and so on. Your name will be on this list soon, too. Lucene ports: Perl, Python, C++, .NET, Ruby One way to judge the success of open source software is by the number of times it’s been ported to other programming lang uages. Using this metric, Lucene is quite a success! Although the original Lucene is written in Java, as of this writing Lucene has been ported to Perl, Python, C++, and .NET, and some groundwork has been done to port it to Ruby. This is excellent news for developers who need to access Lucene indices from applications written in different languages. You can learn more about some of these ports in chapter 9. Indexing and searching At the heart of all search engines is the concept of indexing: processing the original data into a highly efficient crossreference lookup in order to facilitate rapid searching. Let’s take a quick highlevel look at both the indexing and searching processes. What is indexing, and why is it important? Suppose you needed to search a large number of files, and you wanted to be able to find files that contained a certain word or a phrase. How would you go about writing a program to do this? A n
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