{"id":547,"date":"2025-02-17T18:36:17","date_gmt":"2025-02-17T17:36:17","guid":{"rendered":"https:\/\/byzantine.units.it\/?p=547"},"modified":"2025-02-18T11:12:49","modified_gmt":"2025-02-18T10:12:49","slug":"nomismata-data-model-how-it-works","status":"publish","type":"post","link":"https:\/\/byzantine.units.it\/en\/nomismata-data-model-how-it-works\/","title":{"rendered":"How Was Nomismata Built? The Data Model."},"content":{"rendered":"

At the foundation of Nomismata<\/strong> lies a carefully structured data model<\/strong>, which defines the types of data contained in the database and the relationships between them. Rather than inventing a new framework from scratch, the model was shaped by a thorough analysis of existing literature<\/strong>, ensuring that the database was structured around and built upon the sources that inform it.<\/p>\n

\n

Defining the Core Objects<\/strong><\/h3>\n

The examination of scholarly works identified the key objects that needed to be represented in Nomismata:<\/p>\n

    \n
  1. FINDSPOT<\/strong> \u2013 The location where coins were discovered.<\/li>\n
  2. COIN<\/strong> \u2013 The individual numismatic objects recorded in the database.<\/li>\n
  3. MINT<\/strong> \u2013 The minting locations where coins were produced.<\/li>\n
  4. SOURCE<\/strong> \u2013 The historical or scholarly sources providing information on finds and coins.<\/li>\n<\/ol>\n

    A fifth object, CITY<\/strong>, was added to account for the georeferencing<\/strong> of both mints and coin finds, allowing for spatial analysis.<\/p>\n

    \n

    Structuring the Relationships<\/strong><\/h3>\n

    Organizing the data from historical sources in a logical and structured way<\/strong> was one of the most creative aspects of building Nomismata. The result was a network-based data model<\/strong> where objects are interconnected<\/strong> through defined relationships.<\/p>\n

      \n
    • Each object<\/strong> (e.g., COIN) is characterized by specific attributes<\/strong>.\n
        \n
      • Example: The COIN object includes attributes such as Denomination, Mint, Issuing Authority<\/strong>, etc.<\/li>\n<\/ul>\n<\/li>\n
      • The possible values for each attribute are standardized<\/strong> in NODEGOAT’s Categories<\/strong>.\n
          \n
        • Example: The “Denomination” category contains predefined values like Solidus, Tremissis, Semissis, Miliaresion, 40 nummi, Follis, Hyperpyron<\/strong>, etc.<\/li>\n<\/ul>\n<\/li>\n
        • This categorization ensures data consistency<\/strong>, preventing variations in terminology (e.g., “Solidus” vs. “Solido” or “Tremissis” vs. “Tremisse”).<\/li>\n<\/ul>\n
          \n

          Visualizing Relationships: The Role of Network Analysis<\/strong><\/h3>\n

          In the data model<\/strong>, the blue lines<\/strong> connecting object attributes to categories or other objects visually represent the relationships<\/strong> that structure the database. This approach reflects the interconnected nature<\/strong> of numismatic data, allowing researchers to analyze patterns over time and space<\/strong>.<\/p>\n

          Each attribute<\/strong> can serve as a search filter<\/strong>, making the database highly flexible for research. By combining attributes, users can refine their queries<\/strong> to extract precise historical and geographical insights.<\/p>\n

          Example search query:<\/p>\n

          \u201cShow me all the 40 nummi minted in Constantinople and Nicomedia that were found in the Near East.\u201d<\/em><\/p><\/blockquote>\n

          By integrating structured data, georeferencing, and network visualization<\/strong>, Nomismata<\/strong> provides a powerful research tool<\/strong> for exploring the historical circulation of coins.<\/p>\n

          \"enhanced<\/p>\n","protected":false},"excerpt":{"rendered":"

          At the foundation of Nomismata lies a carefully structured data model, which defines the types of data contained in the database and the relationships between them. Rather than inventing a new framework from scratch, the model was shaped by a thorough analysis of existing literature, ensuring that the database was structured around and built upon […]<\/p>\n","protected":false},"author":1,"featured_media":504,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[13],"tags":[],"class_list":["post-547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nHow Was Nomismata Built? 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