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Celebrate Michael Jackson's life with a Commemorative Anniversary Coin

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Lucene / Solr - Open Source Search Engine Features





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By : Jim Cornell    99 or more times read
Submitted 2009-11-13 10:07:37
Cheap Domains and Hosting Lucene and Solr can be considered as an open backbone for users who have the freedom to plug-in the best tool for their work. This is because enterprises search platforms like Apache Lucene offers higher order processing techniques like metadata generation, applying taxonomies, and doing relevance testing on a regular basis.

Lucene and Solr are open source search platforms that are uniquely positioned to fuel intelligent searches for users. They also lower the cost of experimentation because it takes less effort to get it installed. Also, these platforms are able to understand user domains and also to provide them with excellent search results.

Also, open source search platforms like Lucene provides organizations with cost effective solutions that fill in infrastructure and enable them to use resources for their core competencies. Lucene and Solr platforms offer support, training and professional services to user organizations. Using Solr, the Lucene open source search engine, users can themselves build a search engine from scratch.

It has been found that while using Lucene and Solr the enterprise direct costs are the only cost of experimentation. These platforms provide unique capabilities such as: 1. Research-oriented Question Answering system 2. Arabic-English cross language search system 3. Classifier features 4. Co-occurrence information for sentiment analysis. Lucene and Solr have allowed users to take untested ideas and work on them.

Solr search engine has excellent plug-in architecture that makes it easy to use the plug-in features.Solr supports high performing searches that offer complicated keyword capabilities. This has now become the leading edge of the field and is being adopted by Apache Lucene. Lucene and Solr offer a variety of approaches to solve many real world search issues and have provided solutions for: 1. Intelligent query parsing 2. Better faceting and discovery capabilities 3. Integration with natural language processing (NLP) tools for NER (Named Entity Recognition), 4. Sentiment analysis and relationship discovery

Solr installation requires index functions that were only a mere fraction of the size of the proprietary solution. This provides users the benefit of dealing with less hardware to achieve the same throughput, less operations costs, faster indexing, faster queries, etc.
In short, using Lucene or using Solr provides a cost effective and fully capable mechanism for improving the efficiency of enterprise searches.



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