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In computer science, a retrieval data structure, also known as static function, is a space-efficient dictionary-like data type composed of a collection
Retrieval_Data_Structure
Way to obtain data from a database
Data retrieval means obtaining data from a database management system (DBMS), like for example an object-oriented database (ODBMS). In this case, it is
Data_retrieval
Particular way of storing and organizing data in a computer
plain old data structures to distinguish them from objects. Hash tables, also known as hash maps, are data structures that provide fast retrieval of values
Data_structure
Type of information retrieval using LLMs
semi-structured, or structured data (for example knowledge graphs). These embeddings are then stored in a vector database to allow for document retrieval.
Retrieval-augmented generation
Retrieval-augmented_generation
Abstract data type
counter to keep track of the size of the list: structure frame: data : item next : frame or nil structure stack: head : frame or nil size : integer procedure
Stack_(abstract_data_type)
Finding information for an information need
describes data, and for databases of texts, images, or sounds. Cross-modal retrieval implies retrieval across modalities. Automated information retrieval systems
Information_retrieval
Standard format for electronic dictionaries
Japanese. A subset of EPWING V1 is standardized as JIS X 4081 ("Retrieval Data Structure for Japanese Electronic Publication"). In 1986, Fujitsu, Iwanami
EPWING
Computer language used to make queries into databases and information systems
according to whether they are database query languages or information retrieval query languages. The difference is that a database query language attempts
Query_language
Type of database that uses vectors to represent other data
engines, object detection, and retrieval-augmented generation (RAG). Vector embeddings are mathematical representations of data in a high-dimensional space
Vector_database
In computer science, a search data structure[citation needed] is any data structure that allows the efficient retrieval of specific items from a set of
Search_data_structure
Type of database index
itself, rather than its index. It is the most popular data structure used in document retrieval systems, used on a large scale for example in search engines
Inverted_index
Discrete, discontinuous representation of information
subset of the original data. In order to do this, the key of the subset of data to be retrieved must be known before retrieval begins. The most popular
Digital_data
Information retrieval involving digital images
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional
Image_retrieval
Content-based retrieval of XML documents
XML retrieval, or XML information retrieval, is the content-based retrieval of documents structured with XML (eXtensible Markup Language). As such it
XML_retrieval
Long-term storage of research data
Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences. The various
Research_data_archiving
Type of computer program
modifications based on the internal structure of the document. For users who do not require advanced query, retrieval, or update capabilities, the distinction
Document-oriented_database
Academic field concerned with collection and analysis of information
Washington, DC: IEEE. Frakes, William B. (1992). Information Retrieval Data Structures & Algorithms. Prentice-Hall, Inc. ISBN 978-0-13-463837-9. Archived
Information_science
Practice for controlling corporate data
service also become more efficient, as MDM data facilitates rapid, accurate, and thorough information retrieval, permitting more employee time to be spent
Master_data_management
Organized collection of data in computing
2015. Hershey, William; Easthope, Carol (1972). A set theoretic data structure and retrieval language. Spring Joint Computer Conference, May 1972. ACM SIGIR
Database
Subgroup of the Association for Computing Machinery
Information Retrieval. The scope of the group's specialty is the theory and application of computers to the acquisition, organization, storage, retrieval and
Special Interest Group on Information Retrieval
Special_Interest_Group_on_Information_Retrieval
Process in data storage
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or
Data_extraction
Cloud-based data analytics service
Azure Data Explorer is a fully-managed big data analytics cloud platform and data-exploration service, developed by Microsoft, that ingests structured, semi-structured
Azure_Data_Explorer
Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items.
Knowledge_retrieval
Process of encoding and decoding binary data to and from synthesized strands of DNA
Krasnogor implemented a stack data structure using DNA, allowing for last-in, first-out (LIFO) data recording and retrieval. Their approach used hybridization
DNA_digital_data_storage
Disciplines of managing data as a resource
structured storage and retrieval of data. By the 1980s, relational database models revolutionized data management, emphasizing the importance of data
Data_management
Enfilades are a class of tree data structures invented by computer scientist Ted Nelson and used in Project Xanadu "Green" designs of the 1970s and 1980s
Enfilade_(Xanadu)
Technical document summarizing components
information retrieval, display, design, testing, interfacing, verification, system discovery, and e-commerce. Examples include Open Icecat data-sheets, transducer
Datasheet
Information without a formal data model
can allow for easy retrieval of data. Clustering Pattern recognition List of text mining software Semi-structured data Structured data ^ Today's Challenge
Unstructured_data
Research organisation in music data
Society for Music Information Retrieval (ISMIR) is an international forum for research on the organization of music-related data. It started as an informal
International Society for Music Information Retrieval
International_Society_for_Music_Information_Retrieval
Method for data management
indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval. Index design incorporates interdisciplinary concepts
Search_engine_indexing
The hippocampus participates in the encoding, consolidation, and retrieval of memories. The hippocampus is located in the medial temporal lobe (subcortical)
Hippocampal memory encoding and retrieval
Hippocampal_memory_encoding_and_retrieval
Any algorithm which solves the search problem
the study of information retrieval, not algorithmics. The appropriate search algorithm to use often depends on the data structure being searched, and may
Search_algorithm
Type of knowledge base
graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store
Knowledge_graph
Contextual queries
overall meaning of the query. Semantic search is an approach to information retrieval that seeks to improve search accuracy by understanding the searcher's
Semantic_search
Software class or data structure whose instances are collections of other objects
In computer science, a container is a class or a data structure whose instances are collections of other objects. In other words, they store objects in
Container (abstract data type)
Container_(abstract_data_type)
Online database maintained by St. Louis Federal Reserve Bank
data sources, while categories and tags provide systems for browsing and metadata classification. Categories form a hierarchical browsing structure,
Federal_Reserve_Economic_Data
Component of a database management system
efficient ways. The data manipulation may include data insertion, deletion, updating and retrieval in various modes. A certain data structure type may be very
Database_engine
Classical information retrieval model
The (standard) Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model where documents are retrieved based on whether
Boolean model of information retrieval
Boolean_model_of_information_retrieval
Learning technique performed with flashcards
following tests. Although expanding retrieval is commonly associated with spaced repetition, a uniform retrieval schedule is also a form of spaced repetition
Spaced_repetition
Centralized storage of knowledge
makes data easier to understand and speeds up data retrieval. Dimensional structures are easy for business users to understand because the structure is divided
Data_warehouse
Topics referred to by the same term
game Deltarune Query, a precise request for information retrieval made to a database, data structure or information system Query language, a computer language
Query
Reduction of data redundancy
pp. 120–125 H.-J. Schek, P. Pistor Data Structures for an Integrated Data Base Management and Information Retrieval System Kent, William (February 1983)
Database_normalization
Interdisciplinary science of getting data from music
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in
Music_information_retrieval
Form of controlled vocabulary
international standard for information retrieval thesauri, defines a thesaurus as a “controlled and structured vocabulary in which concepts are represented
Thesaurus (information retrieval)
Thesaurus_(information_retrieval)
Process of salvaging inaccessible data from corrupted or damaged secondary storage
MBR and filesystem structures After the drive has been cloned to a new drive, it is suitable to attempt the retrieval of lost data. If the drive has failed
Data_recovery
Common word that search engines avoid indexing to save time and space
the stop words for a given purpose. The "general trend in [information retrieval] systems over time has been from standard use of quite large stop lists
Stop_word
Serial number used to identify a periodical publication
those media versions of the title. The use of ISSN-L facilitates search, retrieval and delivery across all media versions for services like OpenURL, library
ISSN
Document search algorithm
Learned sparse retrieval (LSR) or sparse neural search is an approach to Information Retrieval which uses a sparse vector representation of queries and
Learned_sparse_retrieval
Database model
describing data structures for storing the data and retrieval procedures for answering queries. Most relational databases use the SQL data definition
Relational_model
Database for storage and retrieval of triples
purpose-built database for the storage and retrieval of triples through semantic queries. A triple is a data entity composed of subject–predicate–object
Triplestore
Source available in-memory key–value database
on abstract data types rather than queries to be executed by a database engine. Data is stored in structures designed for direct retrieval. It does not
Redis
Process of reducing words to word stems
In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base
Stemming
Mapping arbitrary data to fixed-size values
hash tables are used in data storage and retrieval applications to access data in a small and nearly constant time per retrieval. They require an amount
Hash_function
Israeli-American technology company
allows each location to store, retrieve, and process data. VAST InsightEngine – real-time retrieval-augmented generation (RAG) service, developed in partnership
VAST_Data
Content-based image retrieval
Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will
Reverse_image_search
Computer-based technologies
have one common point in that the structure of the data they contain is defined and stored separately from the data itself, in a database schema. In the
Information_technology
Extension of the Web to facilitate data exchange
Improving information retrieval thereby reducing information overload and increasing the refinement and precision of the data retrieved Identifying relevant
Semantic_Web
Peer-to-peer Internet platform for censorship-resistant communication
researchers, "Freenet: A Distributed Anonymous Information Storage and Retrieval System" (2001). According to CiteSeer, it became one of the most frequently
Hyphanet
Method of 3D reconstruction from moving objects
cloud data comparable in density and accuracy to those generated by terrestrial and airborne laser scanning at a fraction of the cost. Structure from motion
Structure_from_motion
Machine learning methods using multiple input modalities
model performance in tasks like visual question answering, cross-modal retrieval, text-to-image generation, aesthetic ranking, and image captioning. Multimodal
Multimodal_learning
Data structure
The HAT-trie is a cache-conscious data structure based on radix trees that offers efficient string storage and retrieval, and ordered iterations. Performance
Radix_tree
Data structure for a string
"New indices for text: PAT trees and PAT arrays". Information Retrieval: Data Structures and Algorithms. Kurtz, S (1999). "Reducing the space requirement
Suffix_array
Online vector quantization algorithm
theory and rate–distortion theory. In machine learning and information retrieval, vector quantization is used to reduce the memory required to store embeddings
TurboQuant
Numerical relationship among rows in different tables
world, data modeling is critical because as the data grows voluminous, tables linked by keys must be used to speed up programmed retrieval of data. If a
Cardinality_(data_modeling)
Type of machine learning model
prompt".[citation needed] Retrieval-augmented generation (RAG) is an approach that integrates LLMs with document retrieval systems. Given a query, a document
Large_language_model
Data structure
linked leaves. The primary value of a B+ tree is in storing data for efficient retrieval in a block-oriented storage context—in particular, filesystems
B+_tree
Analysis of datasets using techniques from topology
High-dimensional data is impossible to visualize directly. Many methods have been invented to extract a low-dimensional structure from the data set, such as
Topological_data_analysis
Data about other data
they provide a high level of consistency, improving resource retrieval. Metadata structures, including controlled vocabularies, reflect the ontologies of
Metadata
The postings list is a data structure commonly used in information retrieval (IR) systems to store indexing information about a corpus. It is central
Postings_list
Use of machine learning to rank items
the construction of ranking models for information retrieval and recommender systems. Training data may, for example, consist of lists of items with some
Learning_to_rank
Data structure for query optimization in databases
A database index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage
Database_index
Method of extracting data from websites
which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis. Scraping
Web_scraping
Conversion process for computer data
process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage
Serialization
Grouping a set of objects by similarity
including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster
Cluster_analysis
Facts provided or learned about something or someone
patterns within the signal or message. Information may be structured as data. Redundant data can be compressed up to an optimal size, which is the theoretical
Information
Optimization problem in computer science
retrieve semantically similar records Retrieval-augmented generation systems, where nearest-neighbor retrieval over embeddings is used to fetch candidate
Nearest_neighbor_search
Error-detecting code for detecting data changes
contents. On retrieval, the calculation is repeated and, in the event the check values do not match, corrective action can be taken against data corruption
Cyclic_redundancy_check
Type of data model
model is a type of data model that determines the logical structure of a database. It fundamentally determines in which manner data can be stored, organized
Database_model
Real-world applications of data mining
Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some
Examples_of_data_mining
Associative array for storing key–value pairs
table is a data structure that implements an associative array, also called a dictionary or simply map; an associative array is an abstract data type that
Hash_table
Search tree data structure
known as a digital tree or prefix tree, is a specialized search tree data structure used to store and retrieve strings from a dictionary or set. Unlike
Trie
Database class for storage and retrieval of modeled data
retrieves data differently from the traditional table-based structure of relational databases. Unlike relational databases, which organize data into rows
NoSQL
Online tool for synthesizing documents
LM short for "Language Model") is an online research and note-taking retrieval-augmented generation tool developed by Google Labs that uses artificial
Gemini_Notebook
Information systems good practice for data normalization
of structuring information models and associated data schemas such that every data element is mastered (or edited) in only one place, providing data normalization
Single_source_of_truth
Area of research related to information retrieval centered on timeliness
Temporal information retrieval (T-IR) is an emerging area of research related to the field of information retrieval (IR) and a considerable number of sub-areas
Temporal information retrieval
Temporal_information_retrieval
Technique in natural language processing
represent very dissimilar documents. An information retrieval technique using latent semantic structure was patented in 1988 by Scott Deerwester, Susan Dumais
Latent_semantic_analysis
Storage of telephony and internet traffic and transaction metadata
Retention Directive and the New Provision Regulating Police Access to the Retrieval of Data in Emergency Situations] (in Norwegian). Government of Norway. 26
Data_retention
Technologies for discovering content about a place
placenames. Like traditional information retrieval systems, GIR systems index text and information from structured and unstructured documents, and also augment
Geographic information retrieval
Geographic_information_retrieval
information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources
Multimedia information retrieval
Multimedia_information_retrieval
Software for managing digital content
but will typically include: Intuitive indexing, search, and retrieval features index all data for easy access through search functions and allow users to
Content_management_system
The Teleoperator Retrieval System was an uncrewed space tug ordered by NASA in the late 1970s to re-boost Skylab using the Space Shuttle. TRS was a design
Teleoperator_Retrieval_System
System to help searching for information
In computing, a search engine is an information retrieval software system designed to help find information stored on one or more computer systems. Search
Search_engine_(computing)
Business representation of data
OWL. This usage has grown alongside interest in knowledge graphs and retrieval-augmented generation (RAG) as infrastructure for enterprise artificial
Semantic_layer
Theory of text organization
Rhetorical structure theory (RST) is a theory of text organization that describes relations that hold between parts of text. It was originally developed
Rhetorical_structure_theory
Process of ensuring computer data is both correct and useful
characters of one or more known primitive data types as defined in a programming language or data storage and retrieval mechanism. For example, an integer field
Data_validation
Processing of natural language by a computer
associated with artificial intelligence. NLP is also related to information retrieval, knowledge representation, computational linguistics, and linguistics
Natural_language_processing
Specification of a conceptualization
(2019). "The Literary Theme Ontology for Media Annotation and Information Retrieval". Proceedings of the WODHSA. First International Workshop on Ontologies
Ontology (information science)
Ontology_(information_science)
Software system for finding relevant information on the Web
hits a day, the team created ways to better organize the data. In order to aid in data retrieval, Yahoo! (www.yahoo.com) became a searchable directory.
Search_engine
Similarity measure for number sequences
retrieval Singhal, Amit (2001). "Modern Information Retrieval: A Brief Overview". Bulletin of the IEEE Computer Society Technical Committee on Data Engineering
Cosine_similarity
Structuring text as input to generative artificial intelligence
assigning roles to the model. Automated prompt generation methods, such as retrieval-augmented generation (RAG), provide for greater accuracy and a wider scope
Prompt_engineering
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