Name
Abstract | ||
|---|---|---|
This paper describes a technique for creating generalizable depictions of cognitive spaces from natural language documents, and presents a Web-based system that uses this procedure to visualize structure in geographic discourse. We implement a concept abstraction routine that leverages a lexical ontology to infer the semantics of discussion terms at increasing levels of generalization. A Web discussion medium that uses the Delphi method to guide geographic discourse serves as the framework from which concept structures are elicited. Delphi discussants explore these structures using two Web-enabled visualization schemes: Self-Organizing Maps and concept graphs. These visualization tools rely on a set of concept similarity measures tailored to conceptual information at multiple levels of abstraction. The cognitive spaces produced using this system can reveal key themes in a domain, and can help guide the creation of domain ontologies. We apply these tools to explore concept structures in the field of human-environment interaction. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39923-0_22 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
natural language,delphi method | Ontology (information science),Ontology,Data mining,Abstraction,Visualization,Computer science,Delphi,Natural language,Delphi method,Artificial intelligence,Machine learning,Semantics | Conference |
Volume | ISSN | Citations |
2825 | 0302-9743 | 8 |
PageRank | References | Authors |
0.87 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William A. Pike | 1 | 146 | 10.82 |
| Mark Gahegan | 2 | 571 | 55.38 |