Retrieval Algorithms
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Retrieval Algorithms
Retrieval may refer to: Computer science * RETRIEVE, Tymshare database that inspired dBASE and others * Data retrieval * Document retrieval * Image retrieval * Information retrieval Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an Information needs, information need. The information need can be specified in the form ... * Knowledge retrieval * Medical retrieval * Music information retrieval * Text retrieval Psychology *The process of recall (memory), recalling information that is stored in memory ("memory retrieval") Film * Retrieval (film), ''Retrieval'' (film), a 2006 Polish film * ''The Retrieval'', a 2013 American drama film by Chris Eska Television

* Retrieval (Star Wars: The Bad Batch), "Retrieval" (''Star Wars: The Bad Batch'') {{Disambiguation ...
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RETRIEVE
RETRIEVE is a database management system (DBMS) offered on Tymshare's systems starting in August 1971. It was written in Tymshare's own FORTRAN, SUPER FORTRAN on the SDS 940. It offered basic single-file, non-relational database, relational database functionality using an interactive programming language. It is one of the earliest examples of software as a service (SaaS). RETRIEVE was highly influential and spawned a number of relatively direct clones. Wang Laboratories's RECALL on the Wang 2200 minicomputer was almost identical to RETRIEVE, to the point the differences were detailed in a single page. Jet Propulsion Laboratory, JPL made a version known as Jet Propulsion Laboratory Display Information System, JPLDIS for the UNIVAC 1108 in 1973 that was also very similar. Wayne Ratliff, a contractor at JPL for many years, was inspired by JPLDIS to port it to the IMSAI 8080 to manage his football pool, later releasing it commercially as Vulcan for CP/M in 1979. Ashton-Tate licensed Vu ...
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Data Retrieval
Data retrieval means obtaining data from a database management system (DBMS), like for example an object-oriented database (ODBMS). In this case, it is considered that data is represented in a structured way, and there is no ambiguity in data. In order to retrieve the desired data the user presents a set of criteria by a query. Then the database management system selects the demanded data from the database. The retrieved data may be stored in a file, printed, or viewed on the screen. A query language, like for example Structured Query Language (SQL), is used to prepare the queries. SQL is an American National Standards Institute (ANSI) standardized query language developed specifically to write database queries. Each database management system may have its own language, but most are relational. How the data is presented Reports and queries are the two primary forms of the retrieved data from a database. There are some overlaps between them, but queries generally select a rela ...
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Document Retrieval
Document retrieval is defined as the matching of some stated user query against a set of free-text records. These records could be any type of mainly natural language, unstructured text, such as newspaper articles, real estate records or paragraphs in a manual. User queries can range from multi-sentence full descriptions of an information need to a few words. Document retrieval is sometimes referred to as, or as a branch of, text retrieval. Text retrieval is a branch of information retrieval where the information is stored primarily in the form of natural language, text. Text databases became decentralized thanks to the personal computer. Text retrieval is a critical area of study today, since it is the fundamental basis of all internet search engines. Description Document retrieval systems find information to given criteria by matching text records (''documents'') against user queries, as opposed to expert systems that answer questions by Inference, inferring over a logical knowled ...
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Image Retrieval
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools. The first microcomputer-based image database retrieval system was developed at MIT, in the 1990s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick. A 2008 survey article documented progresses after 2007. Search methods Image search is a specialized data search used to find images. To search for i ...
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Information Retrieval
Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an Information needs, information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text search, full-text or other content-based indexing. Information retrieval is the science 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. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a software system that provides access to books, journals and other documents; it also stores and manages those documents. Web search engines are the most visible IR applications. Overview An information retrieval process begins when a user enters a query into the sys ...
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Knowledge Retrieval
Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology. Overview In the field of retrieval systems, established approaches include: * Data retrieval systems, such as database management systems, are well suitable for the storage and retrieval of structured data. * Information retrieval systems, such as web search engines, are very effective in finding the relevant documents or web pages. Both approaches require a user to read and analyze often long lists of data sets or documents in order to extract meaning. The goal of knowledge retrieval systems is to reduce the burden of those processes by improved search and representation. This improvement is needed to le ...
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Medical Retrieval
Emergency medical services (EMS), also known as ambulance services, pre-hospital care or paramedic services, are emergency services that provide urgent pre-hospital treatment and stabilisation for serious illness and injuries and transport to definitive care. They may also be known as a first aid squad, FAST squad, emergency squad, ambulance squad, ambulance corps, life squad or by other initialisms such as EMAS or EMARS. In most places, EMS can be summoned by members of the public (as well as medical facilities, other emergency services, businesses and authorities) via an emergency telephone number (such as 911 in the United States) which puts them in contact with a dispatching centre, which will then dispatch suitable resources for the call. Ambulances are the primary vehicles for delivering EMS, though squad cars, motorcycles, aircraft, boats, fire apparatus, and others may be used. EMS agencies may also operate a non-emergency patient transport service, and some have resc ...
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Music Information Retrieval
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence, or some combination of these. Applications Music information retrieval is being used by businesses and academics to categorize, manipulate and even create music. Music classification One of the classical MIR research topics is genre classification, which is categorizing music items into one of the pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, instrument identification, and music tagging are also popular topics. Recommender systems Several recommender systems for music already exist, but surprisingly few are based upon MIR techniques, instead of making use of similarity between users or laborious data compilation. P ...
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Text Retrieval
Document retrieval is defined as the matching of some stated user query against a set of free-text records. These records could be any type of mainly natural language, unstructured text, such as newspaper articles, real estate records or paragraphs in a manual. User queries can range from multi-sentence full descriptions of an information need to a few words. Document retrieval is sometimes referred to as, or as a branch of, text retrieval. Text retrieval is a branch of information retrieval where the information is stored primarily in the form of natural language, text. Text databases became decentralized thanks to the personal computer. Text retrieval is a critical area of study today, since it is the fundamental basis of all internet search engines. Description Document retrieval systems find information to given criteria by matching text records (''documents'') against user queries, as opposed to expert systems that answer questions by Inference, inferring over a logical knowled ...
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Recall (memory)
Recall in memory refers to the mental process of retrieving information from the past. Along with encoding (memory), encoding and storage (memory), storage, it is one of the three core processes of memory. There are three main types of recall: free recall, cued recall and serial recall. Psychologists test these forms of recall as a way to study the memory processes of humansrecall. (2010). In Encyclopædia Britannica. Retrieved March 04, 2010, from Encyclopædia Britannica Online: http://www.britannica.com/EBchecked/topic/493353/recal/ref> and animals. Two main theories of the process of recall are the two-stage theory and the theory of Encoding specificity principle, encoding specificity. Theories Two-stage theory The ''two-stage theory'' states that the process of recall begins with a search and retrieval process, and then a decision or Recognition memory, recognition process where the correct information is chosen from what has been retrieved. In this theory, recognition only i ...
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Retrieval (film)
''Retrieval'' () is a 2006 Polish film directed by Sławomir Fabicki. It was Poland's submission to the 79th Academy Awards for the Academy Award for Best Foreign Language Film, but was not accepted as a nominee. It was also screened in the Un Certain Regard section at the 2006 Cannes Film Festival The 59th Cannes Film Festival was held from 17 to 28 May 2006. Chinese filmmaker Wong Kar-wai served as jury president for the main competition, the first Chinese to preside over the jury. English filmmaker Ken Loach won the Palme d'Or for th .... Cast * Marek Bielecki – Badylarz * Jacek Braciak – Gazda * Michal Filipiak – Baton * Olga Frycz – Teenager * Katarzyna Lecznar – Badylarz's Daughter * Eryk Lubos * Andrzej Mastalerz – Elves Producer * Dimitri Melnichuk – Andrij * Jowita Miondlikowska – Gazda's Wife * Antoni Pawlicki – Wojtek * Dorota Pomykała – Mother * Jan Pyrlik – Gazda's Son * Grzegorz Stelmaszewski – Janek * Karolina Tokarek – Gazda's Dau ...
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The Retrieval
''The Retrieval'' is a 2013 American drama film written and directed by Chris Eska. The film stars Ashton Sanders, Tishuan Scott, Keston John, Bill Oberst Jr., Christine Horn and Alfonso Freeman. The film was released on April 2, 2014, by Variance Films. The film centers around Will, a Black boy during the American Civil War, and Nate— a Black Union soldier who is the target of bounty hunters. Will has been forcibly pressed into a bounty hunter gang, because his age and assumed innocence are useful in luring unsuspecting targets in. He plots to deliver Nate from up North down to a prearranged location in the South for his gang to kill Nate, but along the way he struggles with this decision as Nate becomes more of a father figure. Cast * Ashton Sanders as Will * Tishuan Scott as Nate * Keston John as Marcus * Bill Oberst Jr. as Burrell * Christine Horn as Rachel * Alfonso Freeman as Isaac * Raven Nicole LeDeatte as Abby * Jonathan Brooks as Royce * Jody Stelzig as Chasing ...
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