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Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. [3]
While suitable for any application that requires full text indexing and searching capability, Lucene is recognized for its utility in the implementation of Internet search engines and local, single-site searching. [10] [11] Lucene includes a feature to perform a fuzzy search based on edit distance. [12]
The main source of disagreement was the format of the search engine, with German engineers favoring a text-based search engine and the French engineers favoring a multimedia search engine. Many German engineers also balked at what they thought was becoming too much of an anti-Google project, rather than a project driven by its own ideals. [12]
Lucene Core: a high-performance, full-featured text search engine library; Solr: enterprise search server based on the Lucene Java search library; Lucene.NET: a port of the Lucene search engine library, written in C# and targeted at .NET runtime users. MADlib: Scalable, Big Data, SQL-driven machine learning framework for Data Scientists
Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2].NET [3] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7]
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web. AOL.
The Isearch search/indexing text algorithms were based on Gaston Gonnet's seminal work into PAT arrays and trees for text retrieval--- ideas that were developed for the New Oxford English Dictionary Project at the Univ. of Waterloo, and provided the seeds for Tim Bray's PAT SGML engine that formed the basis of Open Text. One of the limiting ...