Skip to main content
SimilarExport ZIP
100%

For Mark S.

✓ Published0🌍 Public
CCliffordAnderson
Last edited Oct 15, 2019
Created on Oct 15, 2019

This example reveals the legal concepts of "jury" and "law" as they co-occur in the BPP Quarterly collection, ranking each document by the number of stemming-aware full-text hits. It first queries the collection using MarkLogic’s `fn:collection` and the `contains text` operator with `ftand` and stemming, then extracts hit highlights via `ft:extract` and counts the resulting `mark` elements. The output is an ordered list of hits with URLs and titles, relying on MarkLogic’s full-text search API rather than any client-side visualization library.

AI-generated description

Similar vizzes

Loading thumbnail…

{$articleTitle}

This example identifies journal articles from the BPP Quarterly collection whose full text mentions “jury” without also mentioning “law,” using the MarkLogic XQuery full-text search with stemming via `ftand ftnot`. It outputs matching article titles, journal names, and the boolean result as CSV, using the `output:csv` declaration to format the query results. The visualization highlights the distribution of such jury-related articles across journals, relying on XQuery’s text search and the `fn:collection` function to access the source documents. The code does not specify a rendering library, focusing instead on the data extraction and serialization step.

CCliffordAnderson
77% match
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
59% 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
57% 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
56% 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
54% match
Loading thumbnail…

XQuery Full Text

This example demonstrates how XQuery 3.1 can perform full-text search and fuzzy string matching directly within a query. It shows four distinct text-processing capabilities: proximity-based word matching using the `contains text` operator with distance constraints, stop-word filtering, Levenshtein distance calculation via the `strings:levenshtein` function, and phonetic comparison using `strings:soundex`. The code relies on the XQuery standard library functions for string operations rather than external visualization libraries, highlighting the language's built-in text analytics power.

CCliffordAnderson
53% match
Loading thumbnail…

llm-wiki

This visualization illustrates a pattern for building persistent, LLM-maintained knowledge bases. It shows how raw source documents are ingested and incrementally compiled into an interlinked wiki of markdown files, with the LLM handling summarization, cross-referencing, and synthesis. The code demonstrates the architecture using file I/O and markdown parsing, with the LLM agent managing the wiki’s structure and updates. The visualization highlights the compounding value of a knowledge base that is kept current over time, rather than re-derived from scratch on every query.

FFilipMessa
52% match
Loading thumbnail…

Example from Programming4Humanists

This example visualizes word frequency in a text by processing the poem’s lines and filtering out common stopwords. It shows a ranked list of words by their occurrence count, displayed in descending order. The code uses XQuery 3.0 with functions like `fn:tokenize`, `fn:distinct-values`, and `fn:count` to compute frequencies, while reading the source text and stopword list from gist URLs. The rendering approach is a simple textual output of word elements, each carrying a `frequency` attribute, rather than a graphical chart.

CCliffordAnderson
50% match