Handbook of combinatorics (vol. 1)
HyO-XTM: a set of hyper-graph operations on XML Topic Map toward knowledge management
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Introducing reasoning into an industrial knowledge management tool
Applied Intelligence
Web Semantics: Science, Services and Agents on the World Wide Web
Visual programming environment based on hypergraph representations
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Visualizing software artifacts using hypergraphs
Proceedings of the 26th Spring Conference on Computer Graphics
Metadata and information structure design on websites – towards a web for all
International Journal of Knowledge and Web Intelligence
TMRA'05 Proceedings of the First international conference on Charting the Topic Maps Research and Applications Landscape
Introducing graph-based reasoning into a knowledge management tool: an industrial case study
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
From information networks to bisociative information networks
Bisociative Knowledge Discovery
Visual access to graph content using magic lenses and filtering
Proceedings of the 28th Spring Conference on Computer Graphics
| Hi-index | 0.00 |
Topic maps have been developed in order to represent the structures of relationships between subjects, independently of resources documenting them, and to allow standard representation and interoperability of such structures. The ISO 13250 XTMsp ecification [2] have provided a robust syntactic XML representation allowing processing and interchange of topic maps. But topic maps have so far suffered from a lack of formal description, or conceptual model. We propose here such a model, based on the mathematical notions of hypergraph and connexity. This model addresses the critical issue of topic map organization in semantic layers, and provides ways to check semantic consistency of topic maps. Moreover, it seems generic enough to be used as a foundation for other semantic standards, like RDF [3].