XQuery Expression to Retrieve Pages in TEI with Paragraphs Containing Keywords

100%

XQuery Expression to Retrieve Pages in TEI with Paragraphs Containing Keywords

✓ Published0🌍 Public

Last edited Mar 23, 2015

Created on Mar 23, 2015

This example demonstrates how to locate paragraphs containing a specific keyword within a TEI-encoded text and retrieve the content associated with each page based on the presence of that keyword. It first selects all `<p>` elements, filters those containing "horse," and then identifies the nearest preceding `<pb>` element to determine the page number. Using XQuery’s `fn:index-of` and positional predicates, it calculates the range of paragraphs belonging to the same page, ensuring all paragraphs on that page are returned, not just the keyword match. The code relies on XQuery 3.0, the TEI namespace, and functions like `fn:doc`, `fn:contains`, and `fn:data`, with the source document fetched from a GitHub-hosted TEI XML file.

AI-generated description

Similar vizzes

Loading thumbnail…

XQuery Full Text

This example demonstrates the evolution of text search in XQuery, from basic string matching to full-text querying with linguistic processing. It shows how `fn:contains` and `fn:matches` perform literal pattern matching, while the XQuery Full Text 3.1 features—`contains text`, `using stemming`, `ft:mark`, and the `score` clause—enable case-insensitive, stem-aware, ranked search results. The code queries a collection of TEI-encoded texts (`vwwp_tei`) and returns matched paragraphs, with scoring wrapped in XML output and string formatting via `format-number`.

CCliffordAnderson

65% match

Loading thumbnail…

XQuery Full-Text Examples

This example demonstrates XQuery Full-Text search and scoring over the TEI-encoded poems of *Les Fleurs du Mal*. It shows basic text matching with the `contains text` operator, then extends to counting results via `ft:count()`, highlighting matches with `ft:mark()`, extracting snippets with `ft:extract()`, and ranking hits by relevance using `ft:score()` with descending order. The final `search.xqy` combines scoring, marking, and base-URI display, filtering out a specific document. The code uses the XQuery 3.1 `=>` arrow operator for function chaining, and relies on the `fn:collection()` function to access the poem corpus.

CCliffordAnderson

62% match

Loading thumbnail…

Gist ccc08dae693660d7aa1b8cf2708fd13d

This example demonstrates how to query and highlight text passages in the Victorian Women Writers Project TEI corpus using XQuery 3.1. It shows a progression from simple full-text searches for repeated terms to fuzzy matching via `ft:search` and `ft:extract`, and finally visualizes results by marking hits with `ft:mark` and segmenting them into tumbling windows. The code relies on BaseX’s full-text and windowing capabilities to extract and structure paragraph-level matches containing “garden” or “house.”

CCliffordAnderson

61% match

Loading thumbnail…

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.

CCliffordAnderson

58% match

Loading thumbnail…

fn:analyze-string results

This example demonstrates the results of an XQuery transformation that uses the XPath 3.1 `fn:analyze-string` function to parse bibliographic text. Given a TEI XML source, the query extracts page ranges from bibliographic entries by matching patterns like "p. 35-42" and wraps them in a `tei:citedRange` element, while preserving the remaining text. The output shows a series of TEI `<bibl>` records where the cited page ranges are cleanly separated from the bibliographic citation text, enabling structured access to page references for downstream processing or display.

CCliffordAnderson

57% match

Loading thumbnail…

<title>Testing XPath

This example demonstrates how XPath and the XQuery `typeswitch` expression can be used to selectively process different node types in an XML document. It shows a TEI-encoded text where comments, text nodes, and `<p>` elements are handled distinctly, with element attributes joined into a space-separated string. The code relies on the XQuery 3.0 standard library functions `fn:string` and `fn:string-join`, operating on the TEI namespace declared in the document. The visualization is static, with no graphical rendering; instead, it highlights the programmatic traversal and conditional branching over the XML tree structure.

CCliffordAnderson

57% match

Loading thumbnail…

Exploring your Collection

This visualization shows a collection of TEI-encoded texts by querying their titles and full-text content, highlighting matches for terms like “vin” or co-occurring words like “mal” and “je” within the same sentence. It first demonstrates how to list all titles in the collection, then filters those titles using XQuery Full-Text expressions via the `contains text` operator. The code uses the BaseX or eXist-db XQuery 3.0 engine, leveraging the `fn:collection()` function to access documents and the TEI namespace for element traversal, with no external visualization libraries—the output is plain text.

CCliffordAnderson

56% match

Loading thumbnail…

<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.

CCliffordAnderson

56% match