Office By Example - ορισμός. Τι είναι το Office By Example
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Λεξικό ChatGPT
Εισάγετε μια λέξη ή φράση σε οποιαδήποτε γλώσσα 👆
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Μετάφραση και ανάλυση λέξεων από την τεχνητή νοημοσύνη ChatGPT

Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:

  • πώς χρησιμοποιείται η λέξη
  • συχνότητα χρήσης
  • χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
  • επιλογές μετάφρασης λέξεων
  • παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
  • ετυμολογία

Τι (ποιος) είναι Office By Example - ορισμός

DEVISED BY MOSHÉ M. ZLOOF AT IBM RESEARCH DURING THE MID-1970S
Query-by-Example; Query By Example; Query-by-example; Query by example
  • Example of QBE query with joins, designed in Borland's [[Paradox database]]

Office By Example      
<language> (OBE) A sequel to QBE, described in publications by Moshe Zloof of IBM in the early 1980s but apparently never implemented. (1998-03-14)
Query By Example         
<database, language> (QBE) A user-friendly query language developed by Moshé Zloof of IBM in 1975. By Exampleley/db/indices/a-tree/z/Zloof:Mosh=eacute=_M=.html">http://informatik.uni-trier.de/Query By Exampleley/db/indices/a-tree/z/Zloof:Mosh=eacute=_M=.html. [Moshé M. Zloof, "Query By Example", AFIPS NCC 1975: 431-438]. [Moshé M. Zloof, "Query-by-Example: A Data Base Language", IBM Systems Journal 16(4): 324-343, 1977]. ["QBE/OBE: A Language for Office and Business Automation", M.M. Zloof, Computer pp.13-22, May 1981]. (2001-03-25)
Query by Example         
Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M.

Βικιπαίδεια

Query by Example

Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL. It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions. Many graphical front-ends for databases use the ideas from QBE today. Originally limited only for the purpose of retrieving data, QBE was later extended to allow other operations, such as inserts, deletes and updates, as well as creation of temporary tables.

The motivation behind QBE is that a parser can convert the user's actions into statements expressed in a database manipulation language, such as SQL. Behind the scenes, it is this statement that is actually executed. A suitably comprehensive front-end can minimize the burden on the user to remember the finer details of SQL, and it is easier and more productive for end-users (and even programmers) to select tables and columns by selecting them rather than typing in their names.

In the context of information retrieval, QBE has a somewhat different meaning. The user can submit a document, or several documents, and ask for "similar" documents to be retrieved from a document database [see search by multiple examples]. Similarity search is based comparing document vectors (see Vector Space Model).

QBE represents seminal work in end-user development, frequently cited in research papers as an early example of this topic.

Currently, QBE is supported in several relational database front ends, notably Microsoft Access, which implements "Visual Query by Example", as well as Microsoft SQL Server Enterprise Manager. It is also implemented in several object-oriented databases (e.g. in db4o).

QBE is based on the logical formalism called tableau query, although QBE adds some extensions to that, much like SQL is based on the relational algebra.