Novianti, Novianti and Nugroho I., Hargyo Tri (2014) SKOSYN: Simple Knowledge Organization System for synonym search on content management system. In: 2014 Asia-Pacific Conference on Computer Aided System Engineering, 10-12 Feb. 2014, South Kuta, Indonesia.
Full text not available from this repository.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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | Simple Knowledge Organization System (SKOS) , synonyms , Content Management System (CMS) , semantic web , XML web service |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 000 Computer Science, Information and General Works 400 Language > 400 Language > 407 Education, Research, Related Topics |
| Divisions: | Faculty of Engineering & Informatics > Computer Engineering |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 02 Dec 2021 16:59 |
| Last Modified: | 18 Aug 2023 02:48 |
| URI: | https://kc.umn.ac.id/id/eprint/19334 |
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