Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web

Jorao Gomes Jr.; Heder Soares Bernardino; Jairo Francisco de SouzaEnayat Rajabi

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Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web

机译：Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web

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For decision making in government, it is necessary to have well-structured sources of information. In several countries, it is difficult to access government data as the information are dispersed, disconnected, and poorly structured. For this reason, this work presents a framework to gather, unify, and enrich missing person data from distributed web sources. The framework allows inserting new tasks specific to the user's domain to improve data quality. In this study, Brazilian missing person data from non-governmental organizations (NGOs) and governmental websites were collected and semantically enriched. To enhance the understanding of the gathered missing people cases, we create interpretive models using machine learning techniques to extract knowledge and to encourage the use of standards for publishing the data that are frequently ignored by organizations, hindering analysis and decision-making on data. After the collection and semantic enrichment process, there was an increase of approximately 11 % in the data present in the base. Also, the mining process evidenced the disappearance and reappearance of a person in Brazil according to several factors such as age, state initiatives, skin tone, hair colors, etc.

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《AI & society: The journal of human-centered systems and machine intelligence》 |2023年第2期|565-579|共15页
作者
Jorao Gomes Jr.; Heder Soares Bernardino; Jairo Francisco de SouzaEnayat Rajabi;
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作者单位

Department of Information Systems and Operations Management, Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna, Austria, LApIC Research Group, Graduate Program in Computer Science, Federal University of Juiz de Fora (UFJF), Juiz;

Department of Computer Science, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36060-900, Brazil;

LApIC Research Group, Department of Computer Science, Federal University of Juiz de Fora (UFJF), Juiz de Fora 36060-900, BrazilShannon School of Business, Cape Breton University, Sydney, Canada;

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正文语种英语
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Open government data; Missing persons; Data mining; Linked data; Semantic web;

Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web

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