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- Database_search_engine abstract "There are several categories of search engine software: Web search or full-text search (example: Lucene), database or structured data search (example: Dieselpoint), and mixed or enterprise search (example: Google Search Appliance). The largest web search engines such as Google and Yahoo! utilize tens or hundreds of thousands of computers to process billions of web pages and return results for thousands of searches per second. High volume of queries and text processing requires the software to run in highly distributed environment with high degree of redundancy. Modern search engines have the following main components:Searching for text-based content in databases or other structured data formats (XML, CSV, etc.) presents some special challenges and opportunities which a number of specialized search engines resolve. Databases are slow when solving complex queries (with multiple logical or string matching arguments. Databases allow logical queries which full-text search doesn't (use of multi-field boolean logic for instance). There is no crawling necessary for a database since the data is already structured but it is often necessary to index the data in a more compact form designed to allow for faster search.Database search engines were initially (and still usually are) included with major database software products. As such, they are usually called indexing engines. However, these indexing engines are relatively limited in their ability to customize indexing formats (compounding, normalization, transformation, transliteration, etc.) Usually they do not provide sophisticated data matching technology (string matching, boolean logic, algorithmic methods, search scripting, etc.).In more advanced Database search systems relational databases are indexed by compounding multiple tables into a single table containing only the fields that need to be queried (or displayed in search results). The actual data matching engines can include any functions from basic string matching, normalization, transformation, Database search technology is heavily used by government database services, e-commerce companies, web advertising platforms, telecommunications service providers, etc.".
- Database_search_engine wikiPageExternalLink database-search.html.
- Database_search_engine wikiPageID "7330158".
- Database_search_engine wikiPageRevisionID "557399077".
- Database_search_engine hasPhotoCollection Database_search_engine.
- Database_search_engine subject Category:Information_retrieval.
- Database_search_engine subject Category:Internet_search_engines.
- Database_search_engine type Abstraction100002137.
- Database_search_engine type Code106355894.
- Database_search_engine type CodingSystem106353757.
- Database_search_engine type Communication100033020.
- Database_search_engine type InternetSearchEngines.
- Database_search_engine type Program106568978.
- Database_search_engine type SearchEngine106578654.
- Database_search_engine type Software106566077.
- Database_search_engine type Writing106359877.
- Database_search_engine type WrittenCommunication106349220.
- Database_search_engine comment "There are several categories of search engine software: Web search or full-text search (example: Lucene), database or structured data search (example: Dieselpoint), and mixed or enterprise search (example: Google Search Appliance). The largest web search engines such as Google and Yahoo! utilize tens or hundreds of thousands of computers to process billions of web pages and return results for thousands of searches per second.".
- Database_search_engine label "Database search engine".
- Database_search_engine sameAs m.0bhbxkr.
- Database_search_engine sameAs Q5227411.
- Database_search_engine sameAs Q5227411.
- Database_search_engine sameAs Database_search_engine.
- Database_search_engine wasDerivedFrom Database_search_engine?oldid=557399077.
- Database_search_engine isPrimaryTopicOf Database_search_engine.