Name
Abstract | ||
|---|---|---|
The unified documentation of models and their relations, which vary greatly concerning the description view, the abstraction level, the language used and the purpose for which they have been built, is still challenging. The knowledge about the relations, which exist between models is usually not captured in a systematic way and hence cannot be searched and reused across different projects and stakeholders. Therefore we examine semantic wikis for the systematic collection and documentation of this knowledge. Firstly, we compare semantic wikis by means of a comparison framework, which permits the problem-adequate selection of semantic wikis. For the practical use of semantic Wikis, we secondly propose a metadata structure and demonstrate their usage based on a prototype. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/HICSS.2010.259 | System Sciences |
Keywords | Field | DocType |
knowledge engineering,meta data,semantic Web,abstraction level,description view,knowledge documentation,metadata structure,model relation management,semantic Wikis,systematic knowledge collection,unified documentation | Ontology (information science),Metadata,World Wide Web,Computer science,Semantic Web,Knowledge management,Knowledge engineering,Abstraction layer,Documentation,Semantic computing,Semantics | Conference |
ISSN | ISBN | Citations |
1530-1605 E-ISBN : 978-1-4244-5510-2 | 978-1-4244-5510-2 | 4 |
PageRank | References | Authors |
0.43 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Fellmann | 1 | 77 | 17.49 |
| Oliver Thomas | 2 | 227 | 43.71 |
| Thorsten Dollmann | 3 | 4 | 0.43 |