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SKOSYN: Simple Knowledge Organization System for synonym search on content management system

Authors: Novianti; I. Hargyo Tri Nugroho;

SKOSYN: Simple Knowledge Organization System for synonym search on content management system

Abstract

The development of Content Management System (CMS) technology undoubtedly eases website content organization. Creative writing is a common challenge in producing written content. One solution is to use synonyms, which conventionally can be found in a thesaurus. In this research, Simple Knowledge Organization System (SKOS) data model, which is suitable for organizing knowledge such as thesauri, is implemented as a plugin for searching synonyms in Bahasa Indonesia. This plugin will complement the default text editor on CMS to edit the written content in a convenient way. This plugin also provides a feature for getting definitions using the XML web service from Kateglo, so that users can understand exactly the meaning of synonyms they use. Based on experiments done in this research, SKOS data can be loaded into triplestore by ARC2 in shorter time than the regular MySQL database which uses integrity constraints. Moreover, the experiments have also shown that time stability for getting synonyms from triplestore using ARC2 can be more maintained than obtaining synonyms from XML document.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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