{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:21:32Z","timestamp":1763810492960,"version":"3.37.3"},"reference-count":11,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Phys.: Conf. Ser."],"published-print":{"date-parts":[[2021,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The spread of the 2019 Corona virus Disease pandemic (Covid-19) resulted in many organizational entities being forced to redesign business processes, reducing the cost of reducing working hours, to terminating employment (layoffs). The informal sector has the worst impact. Thus, both the government and the private sector make various efforts in overcoming problems of social impact that arise. One of them is through the formation of the Task Force for the Acceleration of Handling Covid19 (covid19.go.id) as a single contact crisis center. However, the extent of the impact that arises will result in preventive, curative and promotive efforts at risk of not being handled properly. The implementation of knowledge management based on graphs (knowledge graph) will enable agile integration between various sources of information. The Graph Data Model captures the relationships of various different entities by connecting them through the edge of information extracted from various heterogeneous sources. After the data is represented in a graphical format, there are various analytic graph techniques for asking multi-hop (multi-node) relationships between entities in the knowledge graph that is built. In addition, graphs allow users to visualize data quickly, interactively and exploratively for analysis.<\/jats:p>","DOI":"10.1088\/1742-6596\/1832\/1\/012021","type":"journal-article","created":{"date-parts":[[2021,3,9]],"date-time":"2021-03-09T18:15:36Z","timestamp":1615313736000},"page":"012021","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The effect of the Covid 19 pandemic on the development of the knowledge graph as an integrated recovery accelerator"],"prefix":"10.1088","volume":"1832","author":[{"given":"W","family":"Sardjono","sequence":"first","affiliation":[]},{"given":"E","family":"Selviyanti","sequence":"additional","affiliation":[]},{"given":"M","family":"Tohir","sequence":"additional","affiliation":[]},{"given":"R","family":"Azizah","sequence":"additional","affiliation":[]}],"member":"266","reference":[{"key":"JPCS_1832_1_012021bib1","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.future.2019.08.030","article-title":"A novel data-driven robust framework based on machine learning and knowledge graph for disease classification","volume":"102","author":"Zhenfeng Lei","year":"2020","journal-title":"Future Generation Computer Systems"},{"key":"JPCS_1832_1_012021bib2","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1016\/j.csbj.2020.05.017","article-title":"Constructing knowledge graphs and their biomedical applications","volume":"18","author":"Greene","year":"2020","journal-title":"Computational and Structural Biotechnology Journal"},{"key":"JPCS_1832_1_012021bib3","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.neucom.2018.08.070","article-title":"Representation learning over multiple knowledge graphs for knowledge graphs alignment","volume":"320","author":"Wenqiang Liu","year":"2018","journal-title":"Neurocomputing"},{"key":"JPCS_1832_1_012021bib4","article-title":"ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning","volume":"197","author":"Qi Wang","year":"2020","journal-title":"Knowledge-Based Systems"},{"key":"JPCS_1832_1_012021bib5","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.neucom.2020.08.032","article-title":"MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning","volume":"419","author":"Shuangyin Li","year":"2021","journal-title":"Neurocomputing"},{"key":"JPCS_1832_1_012021bib6","article-title":"GRL: Knowledge graph completion with GAN-based reinforcement learning","volume":"209","author":"Qi Wang","year":"2020","journal-title":"Knowledge-Based Systems"},{"key":"JPCS_1832_1_012021bib7","article-title":"Modeling of development of performance evaluation on health information systems implementation","volume":"1465","author":"Sardjono","year":"2020","journal-title":"Journal of Physics: Conference Series"},{"key":"JPCS_1832_1_012021bib8","article-title":"Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit","volume":"72","author":"Qing Li","year":"2020","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"JPCS_1832_1_012021bib9","first-page":"361","article-title":"The Social Welfare Factors Of Public Transportation","volume":"14","author":"Sardjono","year":"2020","journal-title":"ICIC Express Letters"},{"key":"JPCS_1832_1_012021bib10","first-page":"477","article-title":"Readiness Model Of Knowledge Management Systems Implementation At The Higher Education","volume":"14","author":"Sardjono","year":"2020","journal-title":"ICIC Express Letters"},{"key":"JPCS_1832_1_012021bib11","article-title":"The application of the factor analysis method to determine the performance of IT implementation in companies based on the IT balanced scorecard measurement method","volume":"1538","author":"Sardjono","year":"2020","journal-title":"Journal of Physics: Conference Series"}],"container-title":["Journal of Physics: Conference Series"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1832\/1\/012021","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1832\/1\/012021\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1832\/1\/012021\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1832\/1\/012021\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,30]],"date-time":"2022-01-30T00:09:43Z","timestamp":1643501383000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1832\/1\/012021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,1]]},"references-count":11,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,3,1]]}},"URL":"https:\/\/doi.org\/10.1088\/1742-6596\/1832\/1\/012021","relation":{},"ISSN":["1742-6588","1742-6596"],"issn-type":[{"type":"print","value":"1742-6588"},{"type":"electronic","value":"1742-6596"}],"subject":[],"published":{"date-parts":[[2021,3,1]]},"assertion":[{"value":"The effect of the Covid 19 pandemic on the development of the knowledge graph as an integrated recovery accelerator","name":"article_title","label":"Article Title"},{"value":"Journal of Physics: Conference Series","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"Published under licence by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}