{
    "ok": true,
    "doi": "10.46243/jstj.2017.v2.i4.195",
    "events": [
        {
            "seq": 1,
            "kind": "register",
            "at": "2026-09-29 22:00:37",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "registered at Crossref; record read from api.crossref.org",
            "changes": [
                {
                    "path": "abstract.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "abstract.value",
                    "from": null,
                    "to": "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."
                },
                {
                    "path": "agents.0.name.family",
                    "from": null,
                    "to": "Jayanthi"
                },
                {
                    "path": "agents.0.name.given",
                    "from": null,
                    "to": "Dr. R."
                },
                {
                    "path": "agents.0.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.0.sequence",
                    "from": null,
                    "to": "first"
                },
                {
                    "path": "agents.1.name.family",
                    "from": null,
                    "to": "S. Sheela"
                },
                {
                    "path": "agents.1.name.given",
                    "from": null,
                    "to": ""
                },
                {
                    "path": "agents.1.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.1.sequence",
                    "from": null,
                    "to": "additional"
                },
                {
                    "path": "agents.2.name.org",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "agents.2.role",
                    "from": null,
                    "to": "publisher"
                },
                {
                    "path": "characters.0",
                    "from": null,
                    "to": "Language"
                },
                {
                    "path": "container.identifiers.0.medium",
                    "from": null,
                    "to": "electronic"
                },
                {
                    "path": "container.identifiers.0.type",
                    "from": null,
                    "to": "ISSN"
                },
                {
                    "path": "container.identifiers.0.value",
                    "from": null,
                    "to": "2456-5660"
                },
                {
                    "path": "container.issue",
                    "from": null,
                    "to": "04"
                },
                {
                    "path": "container.pages.first",
                    "from": null,
                    "to": "42"
                },
                {
                    "path": "container.pages.last",
                    "from": null,
                    "to": "50"
                },
                {
                    "path": "container.titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "container.titles.0.value",
                    "from": null,
                    "to": "Journal of Science &amp; Technology"
                },
                {
                    "path": "container.type",
                    "from": null,
                    "to": "Journal"
                },
                {
                    "path": "container.volume",
                    "from": null,
                    "to": "02"
                },
                {
                    "path": "dates.date_type",
                    "from": null,
                    "to": "PublicationDate"
                },
                {
                    "path": "dates.online",
                    "from": null,
                    "to": "2017-07-11"
                },
                {
                    "path": "dates.published",
                    "from": null,
                    "to": "2017-07-11"
                },
                {
                    "path": "doi",
                    "from": null,
                    "to": "10.46243/jstj.2017.v2.i4.195"
                },
                {
                    "path": "format",
                    "from": null,
                    "to": "smartscholars-doi-metadata/1.0"
                },
                {
                    "path": "identifiers.0.type",
                    "from": null,
                    "to": "DOI"
                },
                {
                    "path": "identifiers.0.value",
                    "from": null,
                    "to": "10.46243/jstj.2017.v2.i4.195"
                },
                {
                    "path": "language",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "license.applies_to",
                    "from": null,
                    "to": "vor"
                },
                {
                    "path": "license.start",
                    "from": null,
                    "to": "2017-07-11"
                },
                {
                    "path": "license.url",
                    "from": null,
                    "to": "https://creativecommons.org/licenses/by/4.0/"
                },
                {
                    "path": "links.0.primary",
                    "from": null,
                    "to": true
                },
                {
                    "path": "links.0.return_type",
                    "from": null,
                    "to": "text/html"
                },
                {
                    "path": "links.0.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/195"
                },
                {
                    "path": "links.1.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.1.return_type",
                    "from": null,
                    "to": "application/pdf"
                },
                {
                    "path": "links.1.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/195/175"
                },
                {
                    "path": "links.2.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.2.return_type",
                    "from": null,
                    "to": "application/xml"
                },
                {
                    "path": "links.2.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/195/3533"
                },
                {
                    "path": "links.3.purpose",
                    "from": null,
                    "to": "similarity-checking"
                },
                {
                    "path": "links.3.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/195/175"
                },
                {
                    "path": "modes.0",
                    "from": null,
                    "to": "Visual"
                },
                {
                    "path": "record.issue_number",
                    "from": null,
                    "to": 1
                },
                {
                    "path": "record.registered",
                    "from": null,
                    "to": "2026-09-08"
                },
                {
                    "path": "record.registrant",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "record.source",
                    "from": null,
                    "to": "crossref-api"
                },
                {
                    "path": "record.source_agency",
                    "from": null,
                    "to": "Crossref (member 25296)"
                },
                {
                    "path": "record.updated",
                    "from": null,
                    "to": "2026-09-20"
                },
                {
                    "path": "references.0.doi",
                    "from": null,
                    "to": "10.1179/000127911804775305"
                },
                {
                    "path": "references.0.key",
                    "from": null,
                    "to": "ref1"
                },
                {
                    "path": "references.0.unstructured",
                    "from": null,
                    "to": "Su Nam Kim and Lawrence Cavedon, Classifying Domain-Specific Terms Using a Dictionary, In Proceedings of Australasian Language Technology Association Workshop, 2011, 57−65"
                },
                {
                    "path": "references.1.doi",
                    "from": null,
                    "to": "10.1007/978-3-319-19548-3_13"
                },
                {
                    "path": "references.1.key",
                    "from": null,
                    "to": "ref2"
                },
                {
                    "path": "references.1.unstructured",
                    "from": null,
                    "to": "Birong Jiang, Edong Xun and Jianzhong Qi, A Domain Independent approach from Extracting Terms from Research Papers, Springer International Publishing Switzerland 2015, 155- 166"
                },
                {
                    "path": "references.2.doi",
                    "from": null,
                    "to": "10.3115/1118220.1118225"
                },
                {
                    "path": "references.2.key",
                    "from": null,
                    "to": "ref3"
                },
                {
                    "path": "references.2.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.3.doi",
                    "from": null,
                    "to": "10.15439/2016f221"
                },
                {
                    "path": "references.3.key",
                    "from": null,
                    "to": "ref4"
                },
                {
                    "path": "references.3.unstructured",
                    "from": null,
                    "to": "Rishabh Upadhyay, Akihiro Fujii, Semantic Knowledge Extraction from Research Documents, Computer Science and Information System (Fed CSIS) 2016"
                },
                {
                    "path": "references.4.doi",
                    "from": null,
                    "to": "10.5121/csit.2013.3211"
                },
                {
                    "path": "references.4.key",
                    "from": null,
                    "to": "ref5"
                },
                {
                    "path": "references.4.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.5.key",
                    "from": null,
                    "to": "ref6"
                },
                {
                    "path": "references.5.unstructured",
                    "from": null,
                    "to": "Hospice Houngbo, Robert E. Merer, Method Mention Extraction from Scientific Research Paper, Proceeding of COLING 2012, 1211–1222"
                },
                {
                    "path": "references.6.key",
                    "from": null,
                    "to": "ref7"
                },
                {
                    "path": "references.6.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.7.key",
                    "from": null,
                    "to": "ref8"
                },
                {
                    "path": "references.7.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.8.key",
                    "from": null,
                    "to": "ref9"
                },
                {
                    "path": "references.8.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.9.doi",
                    "from": null,
                    "to": "10.1145/1361684.1361686"
                },
                {
                    "path": "references.9.key",
                    "from": null,
                    "to": "ref10"
                },
                {
                    "path": "references.9.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "referent",
                    "from": null,
                    "to": "Creation"
                },
                {
                    "path": "structural_type",
                    "from": null,
                    "to": "Digital"
                },
                {
                    "path": "titles.0.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "titles.0.value",
                    "from": null,
                    "to": "Domain Extraction From Research Papers"
                },
                {
                    "path": "type",
                    "from": null,
                    "to": "JournalArticle"
                }
            ],
            "record_after": {
                "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 &amp; 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)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/195",
            "sha256_before": null,
            "sha256_after": "e6838e9d0f9170554a396bbc8987fa5720ddcb598a8b4a1ded416d2f9a1849ed"
        },
        {
            "seq": 2,
            "kind": "update",
            "at": "2026-09-29 23:59:57",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "record re-read from api.crossref.org",
            "changes": [
                {
                    "path": "container.titles.0.value",
                    "from": "Journal of Science &amp; Technology",
                    "to": "Journal of Science & Technology"
                }
            ],
            "record_after": {
                "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)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/195",
            "sha256_before": "e6838e9d0f9170554a396bbc8987fa5720ddcb598a8b4a1ded416d2f9a1849ed",
            "sha256_after": "10450605010e0bb0fa79f410efb7239434a5f920334cc14bf6431054fa4767cf"
        }
    ]
}