OAI-PMH
Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH)
The Journal of Artificial Intelligence Research and Innovation (JAIRI) is dedicated to the dissemination of cutting-edge research in artificial intelligence, machine learning, robotics, and computational intelligence. To enhance accessibility and global discoverability, JAIRI implements the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), ensuring seamless metadata retrieval for academic repositories, digital libraries, and indexing platforms.
What is OAI-PMH?
The OAI-PMH is a standard framework for structured metadata harvesting, ensuring interoperability between open-access journals and digital repositories. Through this protocol, JAIRI provides structured metadata that enhances research discoverability worldwide.
OAI-PMH Base URL
Our OAI-PMH metadata repository is accessible at:
OAI Base URL: https://www.artificialintelligencepub.com/jairi/oai
This base URL allows metadata harvesters to access published research in multiple structured formats such as Dublin Core (DC), MODS, and MARCXML.
Supported Metadata Formats
The Journal of Artificial Intelligence Research and Innovation supports various metadata formats for seamless integration with digital repositories:
- oai_dc (Dublin Core): Standardized metadata format for broad interoperability.
- marcxml: A library-standard metadata format.
- mods: XML-based bibliographic metadata format.
- oai_datacite: Metadata format designed for research data citation.
- rfc1807: Legacy metadata format for structured harvesting.
These formats allow streamlined integration with digital archives and scholarly databases, enhancing the journal’s visibility and impact.
How to Use OAI-PMH
Researchers and metadata harvesters can retrieve JAIRI content using the following OAI-PMH queries:
- Retrieve available metadata formats:
https://www.artificialintelligencepub.com/jairi/oai?verb=ListMetadataFormats
- List available journal sets:
https://www.artificialintelligencepub.com/jairi/oai?verb=ListSets
- Retrieve metadata for a specific article:
For more details on OAI-PMH, visit the Open Archives Initiative website.
Benefits of OAI-PMH Integration
The integration of OAI-PMH in JAIRI provides several benefits:
- Increased global reach: Indexed articles are more discoverable.
- Higher citation potential: Enhanced accessibility boosts citations.
- Compliance with open-access mandates: Meets requirements for publicly funded research.
- Seamless integration with research networks: Supports repositories like PubMed, DOAJ, and institutional archives.
For any inquiries regarding metadata harvesting, contact our editorial office at [email protected].
Empowering AI Research through Open Access
JAIRI is committed to advancing the frontiers of artificial intelligence and computational sciences. By adopting OAI-PMH, we facilitate broad dissemination of AI innovations, ensuring that research in deep learning, natural language processing, and automation reaches scientists, industry professionals, and policymakers worldwide.
Join us in shaping the future of AI research through open-access publishing!
For further details, visit our journal website or contact our editorial team at [email protected].