Name
Abstract | ||
|---|---|---|
To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. To achieve the combination of the graphical and Controlled natural language approaches (CNL), we describe the possibility of adding CNL information into graphical OWL ontology editor OWLGrEd. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/978-1-61499-714-6-17 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
OWL,Ontology visualization,Contextual verbalization,Controlled natural language | Computer science,Natural language processing,Artificial intelligence,Ontology editor | Conference |
Volume | ISSN | Citations |
291 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renars Liepins | 1 | 80 | 10.16 |
| normunds grūzītis | 2 | 48 | 10.86 |
| Karlis Cerans | 3 | 314 | 48.74 |
| Julija Ovcinnikova | 4 | 15 | 5.72 |
| Uldis Bojars | 5 | 357 | 32.14 |
| Edgars Celms | 6 | 105 | 18.43 |