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Kernel Metadata Declaration — on demand

ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.

Reads the DOI's public Crossref record; nothing is stored. Until Smart Scholars is accredited, every Declaration is marked as a draft in the XML itself.

✓ Meets every rule of the format

The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.

What the DOI identifies

A Method for Vibration Testing Decision Tree-Based Classification Systems

10.46243/jst.2024.v8.i9.pp1-8 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2023-09-07

Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 08 · no. 09 · pp. 01–08

Principal agents

  • B.Siva (author → Author)
  • Ruhi (author → Author)
  • Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 4 links, 7 references. Source: Crossref (member 25296), registered 2026-08-27, last deposited 2026-09-20.

⬇ Record (JSON) ⬇ Declaration (XML)

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name and the Handbook's (in grey), read off the record.

DOI Name
DOI name
10.46243/jst.2024.v8.i9.pp1-8
Referent Type
referentType
Creation
Referent Sub-Type
referentSubType
JournalArticle — an article in a journal
Referent Name(s)
referentName(s)
A Method for Vibration Testing Decision Tree-Based Classification Systems (PrincipalTitle, en)
Basic Metadata
basicMetadata
author: B.Siva
author: Ruhi
publisher: Longman Publishers
published: 2023-09-07
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 08 · no. 09 · pp. 01–08
language: en
form: Digital · Visual · Language
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOI
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copy
Created Date
issueDate
2026-08-27
relatedIdentifiersnone needed — the descriptive metadata is in this record

The record

{
    "format": "smartscholars-doi-metadata/1.0",
    "doi": "10.46243/jst.2024.v8.i9.pp1-8",
    "referent": "Creation",
    "type": "JournalArticle",
    "structural_type": "Digital",
    "modes": [
        "Visual"
    ],
    "characters": [
        "Language"
    ],
    "titles": [
        {
            "value": "A Method for Vibration Testing Decision Tree-Based Classification Systems",
            "type": "PrincipalTitle",
            "lang": "en"
        }
    ],
    "identifiers": [
        {
            "type": "DOI",
            "value": "10.46243/jst.2024.v8.i9.pp1-8"
        }
    ],
    "agents": [
        {
            "role": "author",
            "name": {
                "given": "",
                "family": "B.Siva"
            },
            "sequence": "first"
        },
        {
            "role": "author",
            "name": {
                "given": "",
                "family": "Ruhi"
            },
            "sequence": "additional"
        },
        {
            "role": "publisher",
            "name": {
                "org": "Longman Publishers"
            }
        }
    ],
    "dates": {
        "published": "2023-09-07",
        "date_type": "PublicationDate",
        "online": "2023-09-07"
    },
    "language": "en",
    "container": {
        "type": "Journal",
        "titles": [
            {
                "value": "Journal of Science & Technology",
                "type": "PrincipalTitle"
            }
        ],
        "identifiers": [
            {
                "type": "ISSN",
                "value": "2456-5660",
                "medium": "electronic"
            }
        ],
        "volume": "08",
        "issue": "09",
        "pages": {
            "first": "01",
            "last": "08"
        }
    },
    "links": [
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/993",
            "return_type": "text/html",
            "primary": true
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/993/894",
            "purpose": "text-mining",
            "return_type": "application/pdf"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/993/1628",
            "purpose": "text-mining",
            "return_type": "application/xml"
        },
        {
            "url": "https://jst.org.in/index.php/pub/article/view/993/894",
            "purpose": "similarity-checking"
        }
    ],
    "abstract": {
        "value": "\"Without any intervention from a person, computers are capable of \"learning\" new things by analyzing data in various ways (training and testing) and making conclusions. One application of ML is decision trees. Many diverse disciplines make use of decision tree techniques. These algorithms have a wide variety of potential applications, including search engines, text extraction, and companies that provide medical certifications. Decision tree algorithms that are both accurate and affordable are now at our fingertips. Whenever a choice is necessary, it is critical to know what the best choice is. We present three decision tree algorithms in this study: ID3, C4.5, and CART. We use tools like WEKA, ML, and DT.",
        "lang": "en"
    },
    "license": {
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "start": "2023-09-07",
        "applies_to": "vor"
    },
    "references": [
        {
            "key": "ref1",
            "unstructured": "“A survey of the research on multi-label learning algorithms,” Technical Report, Oregon State University, Corvallis, OR, Dec. 2010"
        },
        {
            "key": "ref2",
            "doi": "10.17706/jsw.10.12.1367-1374",
            "unstructured": "O. Akcayol Yuldiz, A. Utku, and U. K. Utku, “Decision-Tree-Based Recommendation System with Implicit Relevance Feedback Implementation,” Journal of Safety and Health, vol. 10, no. 12, pp. 1367–1374, Dec. 2015"
        },
        {
            "key": "ref3",
            "unstructured": "A. Gershman, A. Meisels, T. Lüke, L. Rokach, A. Schclar, and A. Sturm, “A Recommender System Based on Decision Trees,” International Institute of Cognitive Science, vol. 17, no. 3, Jun. 2010"
        },
        {
            "key": "ref4",
            "unstructured": "S. D. Jadhav and H. P. Channe, “A collaborative filtering decision tree classifier is an effective recommendation system,” International Journal of Engineering Research and Technology, vol. 3, pp. 2113–2118, 2016"
        },
        {
            "key": "ref5",
            "doi": "10.1145/2467696.2467786",
            "unstructured": "J. Beel, S. Langer, M. Genzmehr, and A. Nürnberger, “Introducing Docear’s approach of recommending scholarly articles,” in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Jul. 2013"
        },
        {
            "key": "ref6",
            "unstructured": "X. Zhou and S. Jiang, “Decision tree learning using a similarity split-off criterion,” Journal of Software (JSW), vol. 7, no. 8, pp. 1775–1782, Aug. 2012"
        },
        {
            "key": "ref7",
            "unstructured": "N. Mathuria, N. Bhargava, R. Bhargava, and G. Sharma, “An investigation into data mining decision trees using the j48 algorithm,” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSEE), vol. 3, no. 6, Jun. 2013"
        }
    ],
    "record": {
        "registrant": "Longman Publishers",
        "registered": "2026-08-27",
        "updated": "2026-09-20",
        "issue_number": 1,
        "source": "crossref-api",
        "source_agency": "Crossref (member 25296)"
    }
}

The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
  <referentDoiName>10.46243/jst.2024.v8.i9.pp1-8</referentDoiName>
  <primaryReferentType>Creation</primaryReferentType>
  <registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
  <issueDate>2026-10-04</issueDate>
  <issueNumber>1</issueNumber>
  <referentCreation>
    <name primaryLanguage="en">
      <value>A Method for Vibration Testing Decision Tree-Based Classification Systems</value>
      <type>PrincipalTitle</type>
    </name>
    <identifier>
      <nonUriValue>10.46243/jst.2024.v8.i9.pp1-8</nonUriValue>
      <uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2024.v8.i9.pp1-8</uri>
      <type>DOI</type>
    </identifier>
    <identifier>
      <uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/993</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/download/993/894</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/993/1628</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://jst.org.in/index.php/pub/article/view/993/894</uri>
      <type>URI</type>
    </identifier>
    <structuralType>Digital</structuralType>
    <mode>Visual</mode>
    <character>Language</character>
    <type>JournalArticle</type>
    <principalAgent>
      <name>
        <value>B.Siva</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Ruhi</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Longman Publishers</value>
        <type>PrincipalName</type>
      </name>
      <role>Publisher</role>
    </principalAgent>
    <linkedCreation>
      <name>
        <value>Journal of Science &amp; Technology</value>
        <type>PrincipalTitle</type>
      </name>
      <identifier>
        <nonUriValue>2456-5660</nonUriValue>
        <type>ISSN</type>
      </identifier>
      <referentCreationRole>Part</referentCreationRole>
      <referentCreationSequenceIdentifier>
        <value>08</value>
        <type>VolumeNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>09</value>
        <type>IssueNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>01-08</value>
        <type>PageNumber</type>
      </referentCreationSequenceIdentifier>
    </linkedCreation>
    <language>en</language>
    <languageOfReferentContent>
      <language>en</language>
      <languageOfReferentContentType>Original</languageOfReferentContentType>
    </languageOfReferentContent>
    <creationDate>
      <date>2023-09-07</date>
      <creationDateType>PublicationDate</creationDateType>
    </creationDate>
  </referentCreation>
</kernelMetadata>
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