A Study of the Alignment of Schema.org for Describing the Publishing Domain Based on SPAR Ontologies

Tabatabai Amiri, Faeze Sadat; Farajpahlou, Abdolhossein; Khademizadeh, Shahnaz; Taheri, Seyed Mehdi

doi:10.22034/jipm.2024.716610

A Study of the Alignment of Schema.org for Describing the Publishing Domain Based on SPAR Ontologies

Document Type : Original Article

Authors

faeze sadat tabatabai amiri ¹

Abdolhossein Farajpahlou ²

Shahnaz Khademizadeh ³

seyed Mehdi Taheri ⁴

¹ university shahid chamran ahvaz

² Professor Emeritus, Department of Knowledge and Information Science, School of Education & Psychology, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

³ Associate Professor, Knowledge and Information Science, Department of Knowledge and Information Science, Faculty of Psychology and Educational Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

⁴ Department of Information Science knowledge. University of Allameh Tabatabai, Tehran, Iran

10.22034/jipm.2024.716610

Abstract

The purpose of the research is to examine the compatibility of the Schema.org with the publishing domain based on SPAR Ontologies.
This research is developmental-applied in terms of its type and employs content analysis as its method. Based on this method, the “units of record” examined are the classes and properties of Schema.org entities and the semantic units of classes and properties in SPAR ontologies. The research population consists of the classes and properties of Schema.org. The classes and properties of SPAR ontologies were matched with all the existing classes and properties in Schema.org, and corresponding elements and those without a match were identified. To examine the level of consistency between the classes and properties of SPAR ontologies and Schema.org, a checklist was used as a data collection tool. The data collection method was through structured observation.
Although the scope and objectives of Schema.org and SPAR ontologies differ, there is potential for interoperability between them. Since SPAR ontologies are specifically designed to meet the specific needs of the publishing industry and provide a more comprehensive and specialized set of ontologies for describing scholarly publications and all aspects of the publishing process, and on the other hand, Schema.org is not as comprehensive as SPAR ontologies in the publishing domain, these ontologies each focusing on one of the different aspects of the publishing process can be used to enrich and increase the usability of Schema.org in the publishing domain.
Creating a comparative table between Schema.org and SPAR ontologies in the perspective of semantic digital publishing can improve the alignment between data and ontologies, and consequently facilitate the integration, interoperability, and stability of related data in the publishing domain. This action improves the quality, accuracy, and reliability of publishing content and semantic data and helps individuals and publishing organizations to operate more effectively and efficiently in a competitive market. It is also very important for the seamless exchange of data and ensuring semantic interoperability in various publishing platforms and applications, and improving the searchability and discoverability of content on the web, and increases user satisfaction. Ultimately, it contributes to standardization efforts in the semantic web community and ensures that semantic publishing practices are aligned with the best practices and standards of the evolving industry.

Keywords

SPAR Ontologies

Schema.org

Structured Data

Digital Publishing

Semantic Publishing

Subjects

Organizing and Processing

فهرست منابع

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