Difference between revisions of "A Wikipedia–Based Approach to Conceptual Indexing and Retrieval of Documents"
(Links) |
(Infobox work) |
||
Line 1: | Line 1: | ||
+ | {{Infobox work | ||
+ | | title = A Wikipedia–Based Approach to Conceptual Indexing and Retrieval of Documents | ||
+ | | date = 2014 | ||
+ | | authors = [[Carlo Abi Chahine]]<br />[[Nathalie Chaignaud]]<br />[[Jean–Philippe Kotowicz]]<br />[[Jean–Pierre Pecuchet]] | ||
+ | | doi = 10.1504/IJKL.2014.067172 | ||
+ | | link = http://dx.doi.org/10.1504/IJKL.2014.067172 | ||
+ | }} | ||
'''A Wikipedia–Based Approach to Conceptual Indexing and Retrieval of Documents''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Carlo Abi Chahine]], [[Nathalie Chaignaud]], [[Jean–Philippe Kotowicz]] and [[Jean–Pierre Pecuchet]]. | '''A Wikipedia–Based Approach to Conceptual Indexing and Retrieval of Documents''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Carlo Abi Chahine]], [[Nathalie Chaignaud]], [[Jean–Philippe Kotowicz]] and [[Jean–Pierre Pecuchet]]. | ||
== Overview == | == Overview == | ||
This paper describes a support system helping archivists in indexing and retrieving documents. Authors method is based on the [[Wikipedia]] category network as a conceptual taxonomy. A directed acyclic graph (DAG) is built for each document by mapping terms (one or more words) to a concept in the Wikipedia category network. Properties of the graph are used to weight these concepts. According to the so–called important concepts, topics and keywords are proposed. Conceptual indexing consists in finding the relevant Wikipedia papers and [[categories]], which can be used to describe the text. Conceptual retrieval consists in using these papers and categories to return the relevant documents for a user query. Finally, a proof–of–concept prototype is presented. | This paper describes a support system helping archivists in indexing and retrieving documents. Authors method is based on the [[Wikipedia]] category network as a conceptual taxonomy. A directed acyclic graph (DAG) is built for each document by mapping terms (one or more words) to a concept in the Wikipedia category network. Properties of the graph are used to weight these concepts. According to the so–called important concepts, topics and keywords are proposed. Conceptual indexing consists in finding the relevant Wikipedia papers and [[categories]], which can be used to describe the text. Conceptual retrieval consists in using these papers and categories to return the relevant documents for a user query. Finally, a proof–of–concept prototype is presented. |
Revision as of 07:59, 7 June 2020
Authors | Carlo Abi Chahine Nathalie Chaignaud Jean–Philippe Kotowicz Jean–Pierre Pecuchet |
---|---|
Publication date | 2014 |
DOI | 10.1504/IJKL.2014.067172 |
Links | Original |
A Wikipedia–Based Approach to Conceptual Indexing and Retrieval of Documents - scientific work related to Wikipedia quality published in 2014, written by Carlo Abi Chahine, Nathalie Chaignaud, Jean–Philippe Kotowicz and Jean–Pierre Pecuchet.
Overview
This paper describes a support system helping archivists in indexing and retrieving documents. Authors method is based on the Wikipedia category network as a conceptual taxonomy. A directed acyclic graph (DAG) is built for each document by mapping terms (one or more words) to a concept in the Wikipedia category network. Properties of the graph are used to weight these concepts. According to the so–called important concepts, topics and keywords are proposed. Conceptual indexing consists in finding the relevant Wikipedia papers and categories, which can be used to describe the text. Conceptual retrieval consists in using these papers and categories to return the relevant documents for a user query. Finally, a proof–of–concept prototype is presented.