Difference between revisions of "Analysing the Entire Wikipedia History with Database Supported Haskell"
(infobox) |
(Embed) |
||
| Line 10: | Line 10: | ||
== Overview == | == Overview == | ||
In this paper authors report on experience of using Database Supported Haskell DSH for analysing the entire [[Wikipedia]] history. DSH is a novel high-level database query facility allowing for the formulation and efficient execution of queries on nested and ordered collections of data. DSH grew out of a research project on the integration of database querying capabilities into high-level, general-purpose programming languages. It is an emerging trend that querying facilities embedded in general-purpose programming languages are gradually replacing lower-level database languages such as SQL as preferred facilities for querying large-scale database-resident data. Authors relate this new approach to the current practice which integrates database queries into analysts' workflows in a rather ad hoc fashion. This paper would interest early technology adopters interested in new database query languages and practitioners working on large-scale data analysis. | In this paper authors report on experience of using Database Supported Haskell DSH for analysing the entire [[Wikipedia]] history. DSH is a novel high-level database query facility allowing for the formulation and efficient execution of queries on nested and ordered collections of data. DSH grew out of a research project on the integration of database querying capabilities into high-level, general-purpose programming languages. It is an emerging trend that querying facilities embedded in general-purpose programming languages are gradually replacing lower-level database languages such as SQL as preferred facilities for querying large-scale database-resident data. Authors relate this new approach to the current practice which integrates database queries into analysts' workflows in a rather ad hoc fashion. This paper would interest early technology adopters interested in new database query languages and practitioners working on large-scale data analysis. | ||
| + | |||
| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Giorgidze, George; Grust, Torsten; Halatchliyski, Iassen; Kummer, Michael E.. (2013). "[[Analysing the Entire Wikipedia History with Database Supported Haskell]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-45284-0_2. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Giorgidze |first1=George |last2=Grust |first2=Torsten |last3=Halatchliyski |first3=Iassen |last4=Kummer |first4=Michael E. |title=Analysing the Entire Wikipedia History with Database Supported Haskell |date=2013 |doi=10.1007/978-3-642-45284-0_2 |url=https://wikipediaquality.com/wiki/Analysing_the_Entire_Wikipedia_History_with_Database_Supported_Haskell |journal=Springer, Berlin, Heidelberg}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Giorgidze, George; Grust, Torsten; Halatchliyski, Iassen; Kummer, Michael E.. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Analysing_the_Entire_Wikipedia_History_with_Database_Supported_Haskell">Analysing the Entire Wikipedia History with Database Supported Haskell</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-45284-0_2. | ||
| + | </nowiki> | ||
| + | </code> | ||
Revision as of 10:15, 31 October 2020
Authors | George Giorgidze Torsten Grust Iassen Halatchliyski Michael E. Kummer |
|---|---|
Publication date | 2013 |
DOI | 10.1007/978-3-642-45284-0_2 |
Links | Original |
Analysing the Entire Wikipedia History with Database Supported Haskell - scientific work related to Wikipedia quality published in 2013, written by George Giorgidze, Torsten Grust, Iassen Halatchliyski and Michael E. Kummer.
Overview
In this paper authors report on experience of using Database Supported Haskell DSH for analysing the entire Wikipedia history. DSH is a novel high-level database query facility allowing for the formulation and efficient execution of queries on nested and ordered collections of data. DSH grew out of a research project on the integration of database querying capabilities into high-level, general-purpose programming languages. It is an emerging trend that querying facilities embedded in general-purpose programming languages are gradually replacing lower-level database languages such as SQL as preferred facilities for querying large-scale database-resident data. Authors relate this new approach to the current practice which integrates database queries into analysts' workflows in a rather ad hoc fashion. This paper would interest early technology adopters interested in new database query languages and practitioners working on large-scale data analysis.
Embed
Wikipedia Quality
Giorgidze, George; Grust, Torsten; Halatchliyski, Iassen; Kummer, Michael E.. (2013). "[[Analysing the Entire Wikipedia History with Database Supported Haskell]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-45284-0_2.
English Wikipedia
{{cite journal |last1=Giorgidze |first1=George |last2=Grust |first2=Torsten |last3=Halatchliyski |first3=Iassen |last4=Kummer |first4=Michael E. |title=Analysing the Entire Wikipedia History with Database Supported Haskell |date=2013 |doi=10.1007/978-3-642-45284-0_2 |url=https://wikipediaquality.com/wiki/Analysing_the_Entire_Wikipedia_History_with_Database_Supported_Haskell |journal=Springer, Berlin, Heidelberg}}
HTML
Giorgidze, George; Grust, Torsten; Halatchliyski, Iassen; Kummer, Michael E.. (2013). "<a href="https://wikipediaquality.com/wiki/Analysing_the_Entire_Wikipedia_History_with_Database_Supported_Haskell">Analysing the Entire Wikipedia History with Database Supported Haskell</a>". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-45284-0_2.
