HuViz (Humanities Visualizer) is a browser-based tool for linked data. Currently in development by the Canadian Writing Research Collaboratory, it is designed to be both highly customizable and easy to use.
Through the features of HuViz, users can discover connections by selecting class tags or dragging the nodes into the central stage. Relationships between entities can be explored in an immersive graph form.
Using HuViz, researchers can visualize RDF datasets and ontologies. Test datasets for the HuViz prototype are RDF generated from the Orlando Project’s XML, but the tool is compatible with any RDF-styled data. In the future, we anticipate extending the tool so that researchers can process and refine data from within HuViz by being able to author links within the tool itself.
HuViz allows users to contextualize by clicking the node edges to open a “snippet” of text extracted from the source entry. HuViz users can customize the appearance of a graph, and modify it using a range of settings, including charge, gravity, shelf radius, fisheye zoom, fisheye radius, node radius, and link distance. This allows the user to isolate and extract information even from large, unwieldy datasets. Query allows users to search datasets and refine graph results according to node name or predicate/class type as defined by the ontology.
HuViz anticipates starting user testing in early February. If you are interested in “test driving” the tool and providing feedback on the usability and design, please contact the Canadian Writing Research Collaboratory at firstname.lastname@example.org.