Knowledge representation through graphs
| Data(s) |
2015
|
|---|---|
| Resumo |
Due to the increasing amount of data, knowledge aggregation, representation and reasoning are highly important for companies. In this paper, knowledge aggregation is presented as the first step. In the sequel, successful knowledge representation, for instance through graphs, enables knowledge-based reasoning. There exist various forms of knowledge representation through graphs; some of which allow to handle uncertainty and imprecision by invoking the technology of fuzzy sets. The paper provides an overview of different types of graphs stressing their relationships and their essential features. |
| Formato |
application/pdf |
| Identificador |
http://boris.unibe.ch/61468/1/1-s2.0-S1877050915025818-main.pdf Portmann, Edy; Kaltenrieder, Patrick; Pedrycz, Witold (2015). Knowledge representation through graphs. Procedia Computer Science, 62, pp. 245-248. Elsevier 10.1016/j.procs.2015.08.446 <http://dx.doi.org/10.1016/j.procs.2015.08.446> doi:10.7892/boris.61468 info:doi:10.1016/j.procs.2015.08.446 urn:issn:1877-0509 |
| Idioma(s) |
eng |
| Publicador |
Elsevier |
| Relação |
http://boris.unibe.ch/61468/ |
| Direitos |
info:eu-repo/semantics/openAccess |
| Fonte |
Portmann, Edy; Kaltenrieder, Patrick; Pedrycz, Witold (2015). Knowledge representation through graphs. Procedia Computer Science, 62, pp. 245-248. Elsevier 10.1016/j.procs.2015.08.446 <http://dx.doi.org/10.1016/j.procs.2015.08.446> |
| Palavras-Chave | #000 Computer science, knowledge & systems #650 Management & public relations #330 Economics |
| Tipo |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion PeerReviewed |
