Search results
Results from the WOW.Com Content Network
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 space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database table every time said table is accessed.
Search engine indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval.Index design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer science.
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa
The word indexing service is today mostly used for computer programs, but may also cover services providing back-of-the-book indexes, journal indexes, and related kinds of indexes. [2] An indexing and abstracting service is a service that provides shortening or summarizing of documents and assigning of descriptors for referencing documents. [3]
The purpose of an inverted index is to allow fast full-text searches, at a cost of increased processing when a document is added to the database. [2] The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems, [3] used on a large scale for example in search ...
This category includes indexing techniques for database management systems. Subcategories. This category has the following 3 subcategories, out of 3 total. B. B-tree ...
A database system where an application developer directly uses an application programming interface to search indexes in order to locate records in data files. In contrast, a relational database uses a query optimizer which automatically selects indexes. [2] An indexing algorithm that allows both sequential and keyed access to data. [3]
Database designers can add or remove indexes without changing application logic, reducing maintenance costs as the database grows and database usage evolves. Indexes can speed up data access, but they consume space in the database, and must be updated each time the data is altered. Indexes therefore can speed data access but slow data maintenance.