Model WordNet Bahasa Indonesia berbasis Linked Data
Abstract: WordNet is an online
lexical database. In Computer Science domain, it plays important role in
solving semantic interoperability issues. It also helps in many researches
related to Natural Language Processing topic. Because of the importance of
WordNet, there are many works to develop WordNet into several languages, e.g.,
Japanese, Arabic, and Indonesian. However, those are still not sufficient to
address semantic interoperability issues. Therefore, there are several attempts
to form WordNet into machine understandable format, i.e, Resource Description
Framework (RDF) model. Still, there is no effort to form WordNet Bahasa
Indonesia into RDF format. This paper presents the process of forming WordNet
Bahasa Indonesia into Linked Data form. This process involves several phases,
which are identifying data sources, data extraction, data transformation, data
loading into relational database, and mapping database model into RDF model.
The latest is done by using D2RQ framework, resulting the WordNet Bahasa
Indonesia as Linked Data format. This data set is linked to WordNet-RDF of Princetown
University.
Penulis: Hendrik, Andhik Budi
Cahyono
Kode Jurnal: jptlisetrodd170178
