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  • 标题:SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM
  • 本地全文:下载
  • 作者:AHMED M. DAOUD ; KHALID M. HOSNY ; EHAB R. MOHAMED
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2020
  • 卷号:98
  • 期号:22
  • 页码:3438-3448
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The Semantic Web is suffering from a lack of tools used to facilitate its users� work when extracting structured data. The development of a system that facilitates the extraction of data from databases and converts them into useful information is of great interest. In this paper, a new ontology-based method is proposed to extract the structured data from a database based on a target ontology. The main focus here is on dealing with music databases because of their popularity on the web. Since the Semantic Web built upon reusing existing ontologies, this system is going to use the existing musical ontology defined in the Music Ontology Specification. This specification provides the concepts and properties used to describe music besides other ontologies that could use in conjunction with it, such as (foaf, dc, timeline, event, etc.). The resulting music data, in RDF format, can be published and linked with existing musical data on the web. This method contributes to the music web of data and allows the Semantic Web clients to access detailed structured information about musical data easily.
  • 关键词:Semantic Web (SW);Relational Database (RDBs);Resource Description Framework (RDF);Music Ontology;Music Database
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