blocks|key|832438|text|Lucene家族中没有一个项目可以原生处理PDF，但是有一些实用程序可以让您随意使用，还有一些写得很好的例子可以告诉您如何滚动自己的PDF文件。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|832439|Lucene会做你需要它做的任何事情，但就你的时间而言，正如Tony上面所说的那样，这是有开销的。数千个文档真的不是很多，所以您也许能够使用一个更轻量级的替代方案。|832440|也就是说，我仍然推荐使用Solr+-它比Lucene更容易设置，支持备份、复制等，还有一个非常适合您的用例的漂亮的JSON接口：http://wiki.apache.org/solr/SolJSON|offset|length|832441|entityMap|0|LINK|mutability|MUTABLE|url|http://wiki.apache.org/solr/SolJSON^0|0|0|1S|Z|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@$F|S|G|T|1|U]]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

None of the projects in the Lucene family can natively process PDFs, but there are utilities you can drop in and well written examples on how to roll your own.

Lucene will do pretty much whatever you need it to do, but there is overhead in terms of your time, as Tony said above. Thousands of documents really isn't that many, so you might be able to get away with a lighter weight alternative.

That said, I would still recommend looking at Solr - it's much, much easier to set up than Lucene, has support for backups, replication, etc., as well as a nifty JSON interface which would fit your use case very well: <a href="http://wiki.apache.org/solr/SolJSON" rel="nofollow noreferrer">http://wiki.apache.org/solr/SolJSON</a>

blocks|key|3158672|text|我用lucene很幸运，但它不是点击，安装和搜索，它确实需要一些工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3158673|如果你需要一些你可以在10分钟内下载和安装并进行搜索的东西，看看免费的Ominifind雅虎版http://omnifind.ibm.yahoo.net/，它使用Lucene，但经过打包，它已经配置好，可以在安装时运行，这是一种更简单的尝试Lucene的方式。|offset|length|3158674|entityMap|0|LINK|mutability|MUTABLE|url|http://omnifind.ibm.yahoo.net/^0|0|1B|U|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

I have had good luck with lucene, but it is not click, install and search, it does require a bit of work. 
If you need something that yo can download and install and be searching within 10 minutes, look at the free Ominifind Yahoo Edition <a href="http://omnifind.ibm.yahoo.net/" rel="nofollow noreferrer">http://omnifind.ibm.yahoo.net/</a>, it uses Lucene, but is packaged such that it is configured and ready to run upon install, a much easier way to try Lucene.

blocks|key|3158877|text|在Nutch中启用Nutch+%2B+Lucene+%2B+Pdf插件就是您的解决方案。Nutch允许您通过启用pdf插件来解析pdf。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3158878|Lucene将允许您索引爬行和解析的数据，而Nutch具有servelet，它为您提供了一个搜索界面。|3158879|我们在内部lans中也使用相同的方法。|3158880|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

Nutch + Lucene + Pdf plugin enabled in Nutch is your solution. Nutch allows you to parse pdfs by enabling the pdf plugin. 

Lucene will allow you to index the crawled and parsed data and Nutch has servelet which gives you a search interface.

We use the same for our internal lans.

blocks|key|5415087|text|谷歌搜索应用程序http://www.google.com/enterprise/gsa/|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|5415088|entityMap|0|LINK|mutability|MUTABLE|url|http://www.google.com/enterprise/gsa/^0|8|11|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Google Search Appliance <a href="http://www.google.com/enterprise/gsa/" rel="nofollow noreferrer">http://www.google.com/enterprise/gsa/</a>

blocks|key|5416017|text|我想你想要一个系统来管理你的PDF文件。请尝试使用dspace系统。Dspace是一个数字图书馆，它支持基于.www.dspace.org。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5416018|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I think you want a system to manage your PDF file. Please try to use dspace system. Dspace is a digital library, it supports Lucene based on. www.dspace.org.

blocks|key|5415045|text|看看eprints吧。它包括添加新文档的工作流程，自动索引和缩略图PDF，并具有相当全面的全文搜索功能。它也可以很容易地定制和品牌化。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|5415046|为什么要重新发明轮子。再来一次。|5415047|entityMap|0|LINK|mutability|MUTABLE|url|http://www.eprints.org/^0|2|7|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

Take a look at <a href="http://www.eprints.org" rel="nofollow noreferrer">eprints</a>. It includes a workflow for adding new documents, automatically indexes and thumbnails PDF's and has fairly comprehensive full text search functionality. It can also be easily customised and branded.

Why re-invent the wheel. Again.

blocks|key|4004153|text|在这个论坛上回答如此广泛的问题将是困难的。我建议您阅读一书，该书以非常易读的方式介绍了索引和搜索的基础知识。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4004154|考虑到您的应用程序，听起来Nutch和Solr可能不是必需的。由于您的所有文档都在本地可用，Nutch可能不会有帮助。如果你有很高的查询负载，Solr可能会帮助你管理一群搜索者，但Lucene性能很高，以一种非常可伸缩的方式处理大型文档集。|4004155|可能会消耗大量精力的一个方面是PDF的使用。可以对PDF文档进行索引，也可以使用Lucene+contributions+to+facilitate+the+extraction+of+raw+text+from+PDFs，但根据文档的不同，结果的质量可能会有所不同。通常，由于格式说明的原因，PDF文档中关键字的上下文不清楚，这可能会使执行邻近搜索或显示命中的上下文变得困难。|offset|length|4004156|entityMap|0|LINK|mutability|MUTABLE|url|http://wiki.apache.org/lucene-java/LuceneFAQ#head-c45f8b25d786f4e384936fa93ce1137a23b7e422^0|0|0|14|1Z|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@$F|S|G|T|1|U]]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

Answering such a broad question in this forum will be tough. I'd recommend you check out the book <a href="http://www.manning.com/hatcher2/" rel="nofollow noreferrer">Lucene in Action</a>, which covers the basics of indexing and searching in a quite readable fashion.

Given your application, it sounds like Nutch and Solr probably will not be necessary. Since all of your documents are available locally, Nutch probably won't be helpful. Solr may help you manage a cluster of searchers if you have a high query load, but Lucene is highly performant, and handles large document sets in a very scalable manner.

The one area that might consume a lot of your effort is the use of PDF. It's possible to index PDF documents, and there are <a href="http://wiki.apache.org/lucene-java/LuceneFAQ#head-c45f8b25d786f4e384936fa93ce1137a23b7e422" rel="nofollow noreferrer">Lucene contributions to facilitate the extraction of raw text from PDFs</a>, but depending on the document, the quality of results can vary. Often, the context of a keyword in a PDF document is unclear because of formatting instructions, and that can make it hard to do proximity searches or show the context of a hit.

blocks|key|4004632|text|您可能会看到一个很棒的免费搜索技术:+IBM+Yahoo！免费搜索。我不确定他们是否执行了在幕后使用Lucene的计划，但它仍然是使用免费搜索技术的真正伟大的东方之一。它可以处理多达500K的文档，我相信，它还支持PDF和其他非文本格式。图形用户界面；易于自定义的搜索结果和基本的搜索分析。基本的同义词库和强大的API，如果你不喜欢开箱即用的结果，你可以做任何你想做的事情。我们已经向许多文档不到50万的客户推荐了这个，他们喜欢它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4004633|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

A great free search technology you might look at is the IBM Yahoo! free search. I'm not sure whether they followed through on plans to use Lucene under the covers, but it remains one of the really great, east to use free search technologies. It handles up to 500K documents, I believe, and it supports PDF and other non-text formats as well. Graphic user interface; easy to customize search results, and basic search analytics. Basic thesaurus, and powerful API so you can do pretty much whatever you want if the out of the box results are not to your liking. We've suggested this to a number of clients where there were fewer than half a million documents, and they love it.

blocks|key|4004062|text|如果您有一台Linux服务器，您可以使用Beagle对它们进行索引，然后只需使用它附带的搜索功能。它有一个(实验性的)网络搜索界面，也可以连接到FireFox搜索框中。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4004063|它会自动对包含的文件进行索引，我怀疑您会发现增强或修复beagle比编写自己的Lucene搜索界面更有效率。|4004064|entityMap|0|LINK|mutability|MUTABLE|url|http://www.beagle-project.org/^0|K|6|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

If you've a Linux server, you could use <a href="http://www.beagle-project.org/" rel="nofollow noreferrer">Beagle</a> to index them, and then just use the search functionality that comes with it. It has an (experimental) web search interface, and it can be hooked into the FireFox search box as well.

It automatically indexes files as they're included, and I'd suspect that you'll find it much more efficient to enhance or fix beagle than to write your own search interface to Lucene.

blocks|key|3158491|text|由于在Mac上有一个(imho)明显的优势，我在一台稍微老一点的G5上使用SearchLight。spotlight的web界面不错，这是Mac+OS的内置索引服务。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3158492|entityMap|0|LINK|mutability|MUTABLE|url|http://www.gravityapps.com/searchlight/overview/^0|11|B|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Having the (imho) distinct advantage of being on a Mac, I use <a href="http://www.gravityapps.com/searchlight/overview/" rel="nofollow noreferrer">SearchLight</a> on a somewhat older G5. nice web interface to spotlight, the Mac OS' built-in indexing service.

Our company has thousands of PDF documents. How do we create a simple search engine using Lucene, Solr or Nutch? We'll provide a basic Java/JSP web page were people can type in words and perform basic and/or queries then show them the document links of all matching PDF's.

How do we create a simple search engine using Lucene, Solr or Nutch?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我们公司有成千上万的PDF文档。如何使用Lucene、Solr或Nutch创建一个简单的搜索引擎？我们将提供一个基本的Java/JSP网页，人们可以在其中键入单词并执行基本和/或查询，然后向他们显示所有匹配PDF的文档链接。

问如何使用Lucene、Solr或Nutch创建一个简单的搜索引擎？
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