Compatibility of Schema.org with the Publishing Domain Based on ONIX (ONline Information eXchange)

Document Type : Research Paper

Authors

1 -

2 PhD in Knowledge and Information Science; Associate Professor; Faculty of Psychology and Educational Sciences; Allameh Tabataba’i University; Tehran, Iran

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

4 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

10.22054/jks.2026.91467.1763
Abstract
Objective:Schema.org has gained wide acceptance as a comprehensive standard for publishing structured data on the web. However,the general-purpose nature of this standard necessitates targeted enrichment to fully address thespecialized requirements of the publishing domain.A practical strategy for this enrichment involves establishing a mapping between Schema.org and domain-specific metadata standards such as ONIX,which has been explicitly designed for the publishing industry and commercial book distribution.This mapping, by identifying the representational deficiencies of Schema.org, paves the way for proposing lexical extensions aimed at enhancing its applicability in trade publishing.Accordingly,thisstudy aims to investigate the compatibility of Schema.org with the publishing domain based on the ONIX.
Methodology:The research employed a content analysis approach.The recording units comprised the classes and properties of Schema.org, while the semantic units consisted of the code lists of the ONIX.These code lists were systematically mapped against all Schema.org elements to identify corresponding and non-corresponding items.A checklist was utilized as the data collection instrument, and the data were gathered through structured observation.
Findings:Despite the divergent scopes and objectives of the two standards,which result in certain vocabulary mismatches,there exists considerable potential for interoperability.Schema.org lacks the comprehensiveness offered by ONIXin the commercial publishing sphere,indicating that this standard can serve as an efficient resource for enriching and augmenting the applicability of Schema.org within the publishing industry.
Conclusion:Aligning Schema.org with the ONIXenhances data integrity,semantic interoperability,and consistency across publishing workflows.This harmonization elevates the accuracy and reliability of semantic data publication,facilitates alignment with industry best practices,and ultimately strengthens the discoverability of published content within the SemanticWeb ecosystem

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Articles in Press, Accepted Manuscript
Available Online from 09 September 2026