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.
✓ 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
Domain Extraction From Research Papers
10.46243/jstj.2017.v2.i4.195 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2017-07-11
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 02 · no. 04 · pp. 42–50
Principal agents
- Dr. R. Jayanthi (author → Author)
- S. Sheela (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 10 references. Source: Crossref (member 25296), registered 2026-09-08, last deposited 2026-09-20.
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/jstj.2017.v2.i4.195 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Domain Extraction From Research Papers (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Dr. R. Jayanthi author: S. Sheela publisher: Longman Publishers published: 2017-07-11 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 02 · no. 04 · pp. 42–50 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 | 2026-09-08 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jstj.2017.v2.i4.195",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Domain Extraction From Research Papers",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jstj.2017.v2.i4.195"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Dr. R.",
"family": "Jayanthi"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "",
"family": "S. Sheela"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2017-07-11",
"date_type": "PublicationDate",
"online": "2017-07-11"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "02",
"issue": "04",
"pages": {
"first": "42",
"last": "50"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/195",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/195/175",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/195/3533",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/195/175",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "Automatically finding domain specific key terms from a given set of research paper is a challenging task and research papers to a particular area of research is a concern for many people including students, professors and researchers. A domainclassification of papers facilitates that search process. That is, having a list of domains in a research field, we try to find out to which domain(s) a given paper is more related. Besides, processing the whole paper to read take a long time. In this paper, using domain knowledge requires much human effort, e.g., manually composing a set of labeling a large corpus. In particular, we use the abstract and keyword in research paper as the seeing terms to identify similar terms from a domain corpus which are then filtered by checking their appearance in the research papers. Experiments show the TF –IDF measure and the classification step make this method more precisely to domains. The results show that our approach can extract the terms effectively, while being domain independent.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2017-07-11",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"doi": "10.1179/000127911804775305",
"unstructured": "Su Nam Kim and Lawrence Cavedon, Classifying Domain-Specific Terms Using a Dictionary, In Proceedings of Australasian Language Technology Association Workshop, 2011, 57−65"
},
{
"key": "ref2",
"doi": "10.1007/978-3-319-19548-3_13",
"unstructured": "Birong Jiang, Edong Xun and Jianzhong Qi, A Domain Independent approach from Extracting Terms from Research Papers, Springer International Publishing Switzerland 2015, 155- 166"
},
{
"key": "ref3",
"doi": "10.3115/1118220.1118225",
"unstructured": "P. Velardi, M. Missikoff, R. Basili, Identification of Relevant Terms to Support the Construction of Domain Ontologies, ACL workshop on Human Language Technology and Knowledge Management, 2001, 5:1–5:8"
},
{
"key": "ref4",
"doi": "10.15439/2016f221",
"unstructured": "Rishabh Upadhyay, Akihiro Fujii, Semantic Knowledge Extraction from Research Documents, Computer Science and Information System (Fed CSIS) 2016"
},
{
"key": "ref5",
"doi": "10.5121/csit.2013.3211",
"unstructured": "Rakhi Chakraborty, Domain Keyword Extraction Technique: A new weighting method based on frequency analysis, National Conference on Advancement of Computing in Engineering Research, ACER 2013"
},
{
"key": "ref6",
"unstructured": "Hospice Houngbo, Robert E. Merer, Method Mention Extraction from Scientific Research Paper, Proceeding of COLING 2012, 1211–1222"
},
{
"key": "ref7",
"unstructured": "Sonal Gupta, Christopher D.Manning, Analyzing the dynamics of Research by Extracting key Aspects of Scientific Papers, International Joint Conference on Natural Language Processing (IJCNLP), 2011"
},
{
"key": "ref8",
"unstructured": "Sonal Gupta, Christopher D.Manning, Identifying Focus, Techniques and Domain of Scientific Papers, NIPS workshop on Computational Social Science and the Wisdom of Crowds (NIPS-CSS), 2010"
},
{
"key": "ref9",
"unstructured": "Gang Chen, Feng Liu, Mohammad Shojafer, Fuzzy System and Data Mining proceeding of FSDM 2015, Frontiers in Artificial Intelligence and Applications 281, IOS Press 2016, ISBN 978-1-61499-618-7"
},
{
"key": "ref10",
"doi": "10.1145/1361684.1361686",
"unstructured": "H. Wu and R. Luk and K. Wong and K. Kwok, Interpreting TF-IDF term weights as making relevance decisions, ACM Transactions on Information Systems, 2008. BIBLIOGRAPHY OF AUTHORS"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-08",
"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/jstj.2017.v2.i4.195</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Domain Extraction From Research Papers</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jstj.2017.v2.i4.195</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jstj.2017.v2.i4.195</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/195</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/195/175</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/195/3533</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/195/175</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Dr. R. Jayanthi</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>S. Sheela</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 & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>02</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>04</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>42-50</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2017-07-11</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
