Knowledge representation through graphs

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

[img]
Preview
Text
1-s2.0-S1877050915025818-main.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND).

Download (326kB) | Preview

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.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy and Kaltenrieder, Patrick

Subjects:

000 Computer science, knowledge & systems
600 Technology > 650 Management & public relations
300 Social sciences, sociology & anthropology > 330 Economics

ISSN:

1877-0509

Publisher:

Elsevier

Projects:

[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

08 Jan 2015 15:14

Last Modified:

26 Aug 2016 07:35

Publisher DOI:

10.1016/j.procs.2015.08.446

BORIS DOI:

10.7892/boris.61468

URI:

https://boris.unibe.ch/id/eprint/61468

Actions (login required)

Edit item Edit item
Provide Feedback