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  2. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    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 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]

  3. Full-text search - Wikipedia

    en.wikipedia.org/wiki/Full-text_search

    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

  4. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    A database of biomedical and life sciences literature with access to full-text research articles and citations. [56] Includes text-mining tools and links to external molecular and medical data sets. A partner in PMC International. [57] Free EMBL-EBI [58] FSTA – Food Science and Technology Abstracts: Food science, Food technology, Nutrition

  5. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

  6. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The database system supports document store as well as key/value and graph data models with one database core and a unified query language AQL (ArangoDB Query Language). Yes [8] BaseX: BaseX Team BSD License: Java, XQuery: Support for XML, JSON and binary formats; client-/server based architecture; concurrent structural and full-text searches ...

  7. Database search engine - Wikipedia

    en.wikipedia.org/wiki/Database_search_engine

    Database or structured data search (e.g. Dieselpoint). Mixed or enterprise search (e.g. Google Search Appliance ). The largest online directories, such as Google and Yahoo , utilize thousands of computers to process billions of website documents using web crawlers or spiders (software) , returning results for thousands of searches per second.

  8. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. [20] Consider the following scenario for a full text, Internet search engine. It takes 8 bits (or 1 byte) to store a single character.

  9. CORE (research service) - Wikipedia

    en.wikipedia.org/wiki/CORE_(research_service)

    CORE (Connecting Repositories) is a service provided by the Knowledge Media Institute [Wikidata] based at The Open University, United Kingdom.The goal of the project is to aggregate all open access content distributed across different systems, such as repositories and open access journals, enrich this content using text mining and data mining, and provide free access to it through a set of ...

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