Contextual Query Language (CQL), previously known as Common Query Language,[1] is a formal language for representing queries to information retrieval systems such as search engines, bibliographic catalogs and museum collection information. Based on the semantics of Z39.50, its design objective is that queries be human readable and writable, and that the language be intuitive while maintaining the expressiveness of more complex query languages. It is being developed and maintained by the Z39.50 Maintenance Agency, part of the Library of Congress.
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CQL 1: Complex corpus searches with the Corpus Query Language
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Overview of Query Languages | Database Management System
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Muktabh Mayank - Making a contextual recommendation engine
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Examples of query syntax
Simple queries:
dinosaur "complete dinosaur" title = "complete dinosaur" title exact "the complete dinosaur"
dinosaur or bird Palomar assignment and "ice age" dinosaur not reptile dinosaur and bird or dinobird (bird or dinosaur) and (feathers or scales) "feathered dinosaur" and (yixian or jehol)
Queries accessing publication indexes:
publicationYear < 1980 lengthOfFemur > 2.4 bioMass >= 100
Queries based on the proximity of words to each other in a document:
ribs prox/distance<=5 chevrons ribs prox/unit=sentence chevrons ribs prox/distance>0/unit=paragraph chevrons
Queries across multiple dimensions:
date within "2002 2005" dateRange encloses 2003
Queries based on relevance:
subject any/relevant "fish frog" subject any/rel.lr "fish frog"
The latter example specifies using a specific algorithm for logistic regression.[2]
References
- ^ CQL: the Contextual Query Language: Specifications SRU: Search/Retrieval via URL, Standards, Library of Congress
- ^ Relevance Ranking Context Set version 1.1 Archived 2011-05-15 at the Wayback Machine
External links
- Official website
- Z39.50 Maintenance Agency at the Library of Congress
- A Gentle Introduction to CQL
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This page was last edited on 20 July 2023, at 12:39