Striving for Semantic Convergence with Fuzzy Cognitive Maps and Graph Databases

D'Onofrio, Sara; Wehrle, Marcel; Portmann, Edy; Myrach, Thomas (2017). Striving for Semantic Convergence with Fuzzy Cognitive Maps and Graph Databases (In Press). In: IEEE International Conference on Fuzzy Systems. Naples, Italy. 09.-12.07.2017.

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The exponentially rising amounts of urban data demand new conceptual and technical methods for their management and storage. The era of the Semantic Web requires a convergence toward commonly shared meanings. The combination of fuzzy cognitive maps with graph databases is a first approach to a solution. This article determines the basic requirements for the storing of fuzzy cognitive maps to test current graph databases for their structural suitability. Six out of 47 graph databases fulfill the requirements and are thus recommended for further research purposes. As a proof of concept, OrientDB is used to present how a semantic convergence can be reached through the combination of fuzzy cognitive maps and graph databases in a cognitive city by tackling fuzziness.

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:

D'Onofrio, Sara; Portmann, Edy and Myrach, Thomas

Subjects:

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

Projects:

[378] Cognitive Cities
[455] Modelling with Words Official URL
[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

06 Sep 2017 15:48

Last Modified:

11 Sep 2017 14:09

BORIS DOI:

10.7892/boris.100047

URI:

https://boris.unibe.ch/id/eprint/100047

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