期刊名称：Iranian Journal of Information Processing & Management
印刷版ISSN：2251-8223
电子版ISSN：2251-8231
出版年度：2020
卷号：36
期号：2
页码：533-562
出版社：Iranian Research Institute for Information and Technology
摘要：This paper amid to improve the functionality of attribute properties and relationship properties between the entities of CreativeWorks of Schema.org by representing them in Library Reference Model (LRM) based on the content analysis method. The research community consisted of properties (attributes and relationships) of the book’s entity from the subset of CreativeWorks of Schema.org. A checklist based on entities, attributes and relationships in LRM was used for checking correspondence with the properties of book’s entity in Schema.org by structured observation method. To this end, each property of book in Schema.org was compared with the attributes and relationships in LRM and the most appropriate of them identified and extracted. The findings show that the properties ‘Author’, ‘fileformat’, ‘encoding’, ‘ associatedMedia ’, from CreativeWorks and ‘seeks’ and ‘gender’ from Person in Schema.org did not match to any attributes and relationships. Due to LRM is a conceptual and high-level model which focuses on entities of bibliographic context and their attributes and relationships as the platform for representing them without regard to four categories of knowledge organization standards: content standards, metadata standards, data exchanging standards, and formatting standards. So, these attributes should be considered in content and metadata standards. In LRM there are not any equivalent for roles of creators because it is independent from the four standards that mentioned and there is the possibility of adding roles based on the policy of libraries or information centers. In other entities which was checked in this research: book, organization and thing, all properties fitted with attributes or relationships in LRM due to its comprehensive and general attitude of all. LRM has a complete view of the relationships between entities, these relationships are being narrated, and are identified in accordance with the bibliographic context. While in Schema.org many relationships between entities are not appropriate for the target context. The Shema.org should include properties that can cover relationships appropriate to any context. Considering the recommendations of the conceptual models of the cultural heritage context in determining and developing the properties, especially the relationships between entities by Schema.org, its deficiencies in the functionality in the data environment will be resolved and its applicability will be improved.
