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  2. Web crawler - Wikipedia

    en.wikipedia.org/wiki/Web_crawler

    mnoGoSearch is a crawler, indexer and a search engine written in C and licensed under the GPL (*NIX machines only) Open Search Server is a search engine and web crawler software release under the GPL. Scrapy, an open source webcrawler framework, written in python (licensed under BSD). Seeks, a free distributed search engine (licensed under AGPL).

  3. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Popular search engines focus on the full-text indexing of online, natural language documents. [1] Media types such as pictures, video, audio, [2] and graphics [3] are also searchable. Meta search engines reuse the indices of other services and do not store a local index whereas cache-based search engines permanently store the index along with ...

  4. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    Apache Lucene, a high-performance, full-featured text search engine library written entirely in Java. [49] Apache OpenNLP, a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking and ...

  5. Apache Lucene - Wikipedia

    en.wikipedia.org/wiki/Apache_Lucene

    Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting.It is supported by the Apache Software Foundation and is released under the Apache Software License.

  6. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Each shard may be held on a separate database server instance, to spread load. Some data in a database remains present in all shards, [a] but some appears only in a single shard. Each shard acts as the single source for this subset of data. [1]

  7. Sphinx (search engine) - Wikipedia

    en.wikipedia.org/wiki/Sphinx_(search_engine)

    The Sphinx search daemon supports the MySQL binary network protocol and can be accessed with the regular MySQL API and/or clients. Sphinx supports a subset of SQL known as SphinxQL. It supports standard querying of all index types with SELECT, modifying RealTime indexes with INSERT, REPLACE, and DELETE, and more.

  8. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    Queries are formal statements of information needs, for example search strings in web search engines. In information retrieval, a query does not uniquely identify a single object in the collection. Instead, several objects may match the query, perhaps with different degrees of relevance .

  9. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    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]