Wikidata for Theological Librarians

100%

Wikidata for Theological Librarians

✓ Published0🌍 Public

Last edited Jun 16, 2018

Created on Jun 16, 2018

This example demonstrates how theological librarians can use Wikidata to explore and visualize interconnected scholarly data. It shows a SPARQL query interface that retrieves information about theologians, their works, and associated religious concepts, rendered as an interactive network graph. The visualization uses D3.js’s force-directed layout to position nodes and links, with hover tooltips revealing entity details. Data is sourced live from Wikidata’s public endpoint, while the code employs the `d3.forceSimulation` API for physics-based layout and custom SVG rendering for clarity.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist a55b95a43d04067df4c11d576bed3c42

This example demonstrates a graph database model for scholarly communications in theology, showing relationships between academic institutions, faculty, and the American Theological Library Association (ATLA). Built with Neo4j's Cypher query language, the visualization renders the schema and sample data as an interactive network graph. Using Neo4j's built-in graph visualization features, the code displays nodes for institutions like Princeton Theological Seminary and Drew University, connected by membership edges to the ATLA hub, while also including a faculty node for Clifford B. Anderson.

CCliffordAnderson

69% match

Loading thumbnail…

Artist Networks from WIkidata

This visualization maps the influence network of artists and thinkers from Wikidata, showing directed relationships from influencers to those they influenced. The code transforms the JSON data into a graph structure using XQuery, extracting entity IDs and labels to define nodes and edges. It uses the fetch and json:parse libraries to load and parse the data, then constructs Cypher-like statements for nodes and relationships. The resulting network highlights how figures like Copernicus and Strindberg connect to their intellectual predecessors.

CCliffordAnderson

64% match

Loading thumbnail…

SPARQL queries for the Semantic Web Working Group

This example shows three SPARQL queries that explore the Wikidata knowledge graph. One query counts paintings containing cats versus dogs to test a hypothesis about which animal appears more frequently. Another generates an ImageGrid view of Rembrandt’s artworks using the defaultView directive, while a third lists Spanish painters and sample images of their work. The queries use standard SPARQL syntax with property paths (wdt:P135/wdt:P279?), label service calls, and BIND for computed values. Results render directly in Wikidata’s query service interface.

CCliffordAnderson

61% match

Loading thumbnail…

GraphML for Neo4j

This graph visualization maps academic works, authors, and categories from a theological library dataset, revealing relationships between publications and their contributors. The graph connects nodes representing books, authors, and subject categories, using directional edges to show authorship and classification. The implementation parses GraphML-formatted XML data and displays it through the Neo4j graph platform, leveraging the force-directed layout to position nodes and illustrate the network's structure. The visualization highlights recurring patterns, such as multiple authors associated with the same work and works appearing in several categories.

CCliffordAnderson

61% match

Loading thumbnail…

Clifford Anderson's Scholarly Graph from Atlas

This visualization displays Clifford Anderson’s scholarly network as a directed graph, mapping author relationships and their multifaceted roles (editor, translator, introducer) through distinct node labels and edges. The graph, sourced from a GraphML file, uses the `d3.forceSimulation` API to position nodes via a physics-based layout, while edge and node elements are rendered through SVG paths and circles, with labels encoded in the XML data. The visualization reveals collaboration clusters and role-based connections among authors like Kuyper and Harinck, emphasizing the structured, relational nature of academic publishing.

CCliffordAnderson

61% match

Loading thumbnail…

Influential Artists

This visualization maps a subset of Wikidata’s “influenced by” relationships among artists as a force-directed graph. Nodes represent individual artists, and links connect each artist to those who influenced them, revealing clusters of artistic heritage and cross-disciplinary connections. The graph is rendered using Neo4j’s browser with the `graph_gist_artists.adoc` file, which seeds the database with Cypher `CREATE` statements and applies a blue color style to all `Artist` nodes. Data is sourced from a SPARQL query targeting instances of the “artist” occupation and the `P737` property.

CCliffordAnderson

60% match

Loading thumbnail…

llm-wiki

The visualization shows an LLM-maintained knowledge wiki as a dynamic network of interlinked markdown pages, emphasizing how information accumulates into a persistent, cross-referenced structure rather than being re-derived per query. Using D3.js’s `forceSimulation` and `forceLink`, nodes represent entity pages, concepts, and raw sources, with edges mapping wiki cross-references and topic summaries. The layout updates in real time as new sources are ingested, highlighting the wiki’s evolving synthesis. This example illustrates the core architectural pattern where the LLM writes and updates the wiki while the user browses it, contrasting with retrieval-augmented generation’s stateless query-time lookup.

IIoTeacher

60% match

Loading thumbnail…

Digital Science for Library Workship

This example visualizes a list of Digital Science tools, sourced from a gist by Clifford Anderson, as a static text-based layout. It reads the topics from a Markdown file and renders each entry as a clickable hyperlink to its official website. The code uses the D3.js library, specifically `d3.select` and text element creation, to position the items within an SVG canvas. The visualization does not encode data into shapes or colors; instead, it presents the information as a clean, typographic interface for workshop attendees.

CCliffordAnderson

60% match