We present the NetViz terminology visualization tool and apply it to the domain modeling of karstology, a subfield of geography studying karst phenomena. The developed tool allows for high-performance online network visualization where the user can upload the terminological data in a simple CSV format, define the nodes (terms, categories), edges (relations) and their properties (by assigning different node colors), and then edit and interactively explore domain knowledge in the form of a network. We showcase the usefulness of the tool on examples from the karstology domain, where in the first use case we visualize the domain knowledge as represented in a manually annotated corpus of domain definitions, while in the second use case we show the power of visualization for domain understanding by visualizing automatically extracted knowledge in the form of triplets extracted from the karstology domain corpus. The application is entirely web-based without any need for downloading or special configuration. The source code of the web application is also available under the permissive MIT licence, allowing future extensions for developing new terminological applications.
COBISS.SI-ID: 14646275
We describe an emerging knowledge base for karstology developed in line with the frame-based approach with data for three languages, English, Slovene and Croatian. An annotation framework was developed to identify the definition elements, semantic categories, relations and relation definitors in definitions of karst concepts extracted from specialized corpora. A multilayered annotation was performed for sets of validated English and Slovene definitions. We present the distribution of semantic categories and typical definition frames for the most prominent semantic categories: surface and underground landforms, hydrological forms and geomes, for English and Slovene. The definition frames specify the typical properties of concepts we expect to be described, and in our case they were initialized by domain experts and then verified through corpus data. The structured domain representation resulting from the annotated corpus allows us to compare knowledge structures between languages, generate ideal definitions and experiment with domain visualisations, graphs and maps of geolocations.
COBISS.SI-ID: 70251362
The article presents an extended and improved version of the term alignment approach between two or more languages, and demonstrates its efficiency in a case study on karstology and its terminology.
COBISS.SI-ID: 32998183