## 5 Proposal for an Asset Concealment Ontology
### Specification
#### 5.1.3 Domain Knowledge Capture  
Domain knowledge is obtained by searching primarily for metadata from the categories identified in the previous step. It was also necessary to define the set of actors related to the search. In this regard, Brazil, Canada, the United States, France, Germany, the United Kingdom, India, and China were chosen based on the country's economic significance, geographical aspect, and the existence of open and searchable information about the government database metadata. The domain capture occurs precisely when the identified categories (Table 5) are crossed with the selected actors. The main focus is identifying classes, attributes, and relationships related to the domain in analysis. Data collection and analysis of each category is carried out in the subsequent sections. As described in the domain knowledge capture step description, there is no need to access the actual data in the databases but only their metadata, that is, information about the stored attributes, even if partially. In this work, most of the metadata were obtained through access to official government websites and related studies. By navigating through the official pages of the governmental departments responsible for each database, it was possible to identify many of the attributes that make up these datasets. The list of identified systems or databases, as well as the main mapped attributes, is added in Appendices A-F. \begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt}} \hline \hline
**Category** & **Description** \\ \hline Biographical Data of People 1 & Information on births and deaths, marriage and divorce, citizen identification registry and passports, voters, or licensed drivers database. \\  & Information on healthcare plans, educational records of people enrolled in universities, data of members of research groups, and data from scientific paper databases. \\  & Information on tax declarations, assets, and payments of citizens; information on social security contributions and benefits; employment records—employment history, data on employers, and positions held. \\  & Registration information includes company name, registration number, date of incorporation, ownership details, financial records, etc. \\  & Case information includes the case number, type of case (civil, criminal, administrative), court jurisdiction, and the parties involved, such as plaintiffs, defendants, lawyers, and judges. \\  & Motor, watercraft, and aircraft vehicle registration database, real estate owners database, asset owner information for public servants, information on bank accounts, stock purchase and government bond information, income tax declaration, patent, trademark, and copyright public search databases. \\  & \\ \hline \hline \end{tabular} 1  
\end{table} 
Table 5: Categories of datasets related to asset concealment. A. Biographical data of People  
Civil registry databases are foundational for any government's administrative functions. These databases include records of births, deaths, marriages, and divorces, and provide essential information for demographic analysis, resource allocation, and legal documentation. Personal identification registries, which often include unique identifiers such as national ID numbers, are also part of this category. These unique identifiers help prevent identity fraud and ensure that citizens can access various government services securely. Passport, voter registration, and driver licensing are common databases that store specific information about citizens and their biographic data. In Brazil, these databases are managed by different players. The civil registry is managed by local civil registry offices (Cartorios), which record births, marriages, divorces, and deaths [38]. Additionally, the Registry Geral is a state-issued identity card with a unique identifier, although it may not be unique nationwide. The voter registration database is maintained by the Tribunal Superior Eleitoral (TSE) and includes biometric data [39].