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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D'Onofrio et al. - 2017 - Striving for Semantic Convergence.pdf - Accepted Version Restricted to registered users only Available under License Publisher holds Copyright. Download (341kB) | Request a copy |
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, 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: |
05 Dec 2022 15:05 |
BORIS DOI: |
10.7892/boris.100047 |
URI: |
https://boris.unibe.ch/id/eprint/100047 |
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