<title>TITLE

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Last edited Feb 1, 2019

Created on Feb 1, 2019

This example demonstrates a minimal TEI document structure that validates against a custom ODD schema, defining required elements and attributes for book and chapter divisions. The visualization shows the relationship between the ODD specification and the sample instance, with the schema enforcing structural rules like the presence of a `<head>` in each `<div>` and a non-generic document title. The code uses the TEI and Schematron namespaces to declare constraints, while the sample TEI file references the Relax NG schema via `xml-model` processing instructions. The rendering approach highlights the schema’s closed value lists for `type` attributes and the required `xml:id` usage, demonstrating how validation rules shape document structure.

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Schematron example

This example demonstrates how Schematron rules enforce document constraints, reporting human-readable diagnostics for missing or invalid data. It shows two validation patterns: one requiring an `authorized` attribute on `author` elements, and another ensuring `date` elements contain valid `xs:gYear` values. The schema uses Schematron’s `rule`, `assert`, and `diagnostics` elements, with XPath expressions like `text() castable as xs:gYear` and `../title/text()` to locate context and produce tailored error messages. The source is an XML file defining validation logic, not a graphical visualization, so no rendering libraries or canvas APIs are used.

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<title>Testing XPath

This example demonstrates how an XML TEI document’s structure can be queried using XPath and represented as an interactive node-link diagram. It displays the document’s hierarchical elements—such as `teiHeader`, `text`, `body`, and `p`—as circles connected by links, with text content visible alongside node labels. The visualization uses D3.js’s `d3.hierarchy` and `d3.tree` layout to calculate positions, while `d3.zoom` enables panning and zooming. The code loads the XML via a local file and parses it with `DOMParser`, then applies XPath expressions via `document.evaluate` to extract elements and text for rendering.

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Using both RELAX NG & Schematron for validation

This example shows how RELAX NG and Schematron can be combined to validate a single XML document, using a compact schema (`book.rnc`) for structural rules and a Schematron schema (`book.sch`) for additional business-logic checks. The XML file (`book.xml`) references both validation engines via `xml-model` processing instructions. The RELAX NG schema defines element and attribute patterns, including regular-expression constraints for the author and title attributes. The Schematron schema adds rule-based assertions, such as requiring an `authorized` attribute and verifying the publication date is a valid `xs:gYear`. The sample book data contains a deliberate error—an invalid `authorized` attribute—to trigger a diagnostic message.

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<title>{$title}

This example shows a data transformation that converts TEI-encoded metadata into MODS format, preserving bibliographic details such as title, author, language, publication origin, and abstract. The XQuery script, running on the eXist-db platform, uses the `fn:doc` function to read an XML file and XPath expressions to extract specific elements like `tei:titleStmt` and `tei:publicationStmt`. It then constructs a MODS record by mapping these values into the appropriate MODS elements, such as `<titleInfo>` and `<originInfo>`. The code relies on the standard XQuery 3.0 language features, with no external libraries or visualization APIs involved.

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{$title || " - "}

This example displays a list of EAD (Encoded Archival Description) titles sorted alphabetically from a collection of finalized XML files, rendered as plain paragraph elements in an XHTML page. It uses XQuery 3.1 with the `fn:collection` function to gather titles from `titleproper[@type="filing"]` nodes, and a local template function `local:template` constructs the HTML output, setting a dynamic heading level and tab title. The code demonstrates a server-side, XML-to-HTML transformation pipeline without client-side JavaScript libraries or interactive visualization components.

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For Arne

This example visualizes the structure of a single TEI-encoded article by extracting metadata from an XML source and rendering it as a document-tree diagram. It shows the hierarchical relationships between the article’s title, author, issue, and page-range fields, emphasizing how the original bibliographic data maps onto the TEI structure. The visualization uses an XQuery script with XPath queries to pull specific values, such as the issue and article numbers via regular-expression replacement, and the starting/ending pages from the `biblScope`. The rendering then relies on a force-directed layout (via `d3.forceSimulation`) to position nodes, with each node representing a TEI element and links showing parent–child dependencies. The data source is the gist’s embedded TEI file, and the output is a static SVG generated client-side, reflecting the parsed metadata without additional interaction.

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<title>{$info[1]}

This example demonstrates a metadata transformation from TEI to MODS, converting bibliographic details from an XML source document. The code uses XQuery 3.0 with custom functions `local:gather-information` and `local:generate-mods` to extract fields like title, author, language, publication info, and abstract from the TEI file, then constructs a MODS record and stores it via `xmldb:store`. The visualization shows how structured metadata can be programmatically reshaped between standards, relying on XPath queries and namespace declarations to map data accurately.

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Here's the query we started in class today.

This example demonstrates how to extract the title and author from a TEI-encoded XML document stored in a database. It shows the direct retrieval of text content from nested XML elements, returning both pieces of metadata as a sequence. The code uses the XQuery language with the `fn:doc()` function to access the document and XPath expressions to navigate the TEI namespace. It specifically traverses the `teiHeader/fileDesc/titleStmt` structure to pull the title and author values, illustrating a fundamental pattern for querying structured text documents in an XML database environment.

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