Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (Q1): Difference between revisions

From Research Literature for Wikibase
Jump to navigation Jump to search
(‎Created claim: Author(s) (P1): Sara Assefa Alemayehu, Kushagra Singh Bisen, Pierre Maret, Alexandra Creighton, Rachel Gorman, Bushra Kundi, Thumeka Mgwgwi, Fabrice Muhlenbach, Serban Dinca-Panaitescu, Christo El Morr)
(‎Created claim: Keywords (P9): Knowledge graph (Q11))
 
(17 intermediate revisions by the same user not shown)
description / endescription / en
Alemayehu et al.
Alemayehu et al., 2022
Property / Info
Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English)
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / rank
Preferred rank
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
Author(s): Sara Assefa Alemayehu, Kushagra Singh Bisen, Pierre Maret, Alexandra Creighton, Rachel Gorman, Bushra Kundi, Thumeka Mgwgwi, Fabrice Muhlenbach, Serban Dinca-Panaitescu, Christo El Morr (English)
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
Publication Year: November 2022
Timestamp+2022-11-00T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 month
Before0
After0
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
Publication title: Book title: Knowledge Graphs and Semantic Web (English)
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
 
Property / Info: Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph (English) / qualifier
Abstract: The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology.en (English)
 
Property / Keywords
 
Property / Keywords: Wikibase / rank
Normal rank
 
Property / Keywords
 
Property / Keywords: Methodology / rank
Normal rank
 
Property / Keywords
 
Property / Keywords: Semantic Web / rank
Normal rank
 
Property / Link to Text
 
Property / Link to Text: https://www.researchgate.net/publication/365352102_Methodology_for_Creating_a_Community_Corpus_Using_a_Wikibase_Knowledge_Graph#fullTextFileContent / rank
 
Normal rank
Property / Publication Year
 
2022
Timestamp+2022-00-00T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 year
Before0
After0
Property / Publication Year: 2022 / rank
 
Normal rank
Property / Publication type
 
Property / Publication type: Book Chapter / rank
 
Normal rank
Property / Publication title
 
Book title: Knowledge Graphs and Semantic Web (English)
Property / Publication title: Book title: Knowledge Graphs and Semantic Web (English) / rank
 
Normal rank
Property / Abstract
 
The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology. (English)
Property / Abstract: The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology. (English) / rank
 
Normal rank
Property / Keywords
 
Property / Keywords: Wikibase / rank
 
Normal rank
Property / Keywords
 
Property / Keywords: Methodology / rank
 
Normal rank
Property / Keywords
 
Property / Keywords: Semantic Web / rank
 
Normal rank
Property / Keywords
 
Property / Keywords: Domain-specific corpus / rank
 
Normal rank
Property / Keywords
 
Property / Keywords: Knowledge graph / rank
 
Normal rank
Property / Item type
 
Property / Item type: RPX / rank
 
Normal rank

Latest revision as of 10:48, 11 April 2023

Alemayehu et al., 2022
Language Label Description Also known as
English
Methodology for Creating a Community Corpus Using a Wikibase Knowledge Graph
Alemayehu et al., 2022

    Statements

    Sara Assefa Alemayehu, Kushagra Singh Bisen, Pierre Maret, Alexandra Creighton, Rachel Gorman, Bushra Kundi, Thumeka Mgwgwi, Fabrice Muhlenbach, Serban Dinca-Panaitescu, Christo El Morr (English)
    0 references
    2022
    0 references
    Book title: Knowledge Graphs and Semantic Web (English)
    0 references
    The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology. (English)
    0 references
    0 references
    0 references
    0 references
    0 references
    0 references
    0 references