Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 13 No 4: November 2024

MULTI-WD: Alat Kelengkapan Multibahasa untuk Data Wikidata

Mohammad Yani (Program Studi Rekayasa Perangkat Lunak, Jurusan Teknik Informatika, Politeknik Negeri Indramayu, Indramayu, Jawa Barat, 45252, Indonesia)
Lilyan Arhatia Agustine (Program Studi Rekayasa Perangkat Lunak, Jurusan Teknik Informatika, Politeknik Negeri Indramayu, Indramayu, Jawa Barat, 45252, Indonesia)
Iryanto (Program Studi Rekayasa Perangkat Lunak, Jurusan Teknik Informatika, Politeknik Negeri Indramayu, Indramayu, Jawa Barat, 45252, Indonesia)



Article Info

Publish Date
28 Nov 2024

Abstract

Wikidata, a rapidly expanding knowledge graph (KG), owes its growth to two primary factors. First, Wikidata allows open access and editing by anyone. Second, it offers a multilingual feature that enables data entities to be accessed in various languages worldwide. However, the issue of incomplete information across multiple languages remains a significant challenge. For instance, the description of the entity “bada reuteuk” (ID: Q100606305) is currently available only in Indonesian as “a traditional food in Indonesia,” but it lacks descriptions in other languages. Consequently, these data are not accessible or recognizable in languages other than Indonesian. The system incorporates two primary features: language profiling and data translation. Language profiling, implemented using SPARQL queries via the Wikidata API, provides an overview of the multilingual status of Wikidata entities. For data translation, the system utilized the Translated Labs library, chosen for its open access, cost-free availability, and high-quality translation outputs. The translated results are subsequently saved into Wikidata. System evaluation involved five respondents from the Wikidata community, using a black-box testing approach. Results demonstrated that MULTI-WD’s core functionalities—including category selection, data statistics display, translation, and data updates—achieved 100% operational success. Furthermore, the tool enhanced data translation efficiency by up to 300% compared to manual translation directly through the Wikidata interface.

Copyrights © 2024






Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...