Titlebook: Database and Expert Systems Applications - DEXA 2023 Workshops; 34th International C Gabriele Kotsis,A Min Tjoa,Maqbool Khan Conference pro

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LocBERT: Improving Social Media User Location Prediction Using Fine-Tuned BERT response. This paper introduces LocBERT, a fine-tuned BERT model designed to accurately predict the locations of Twitter users based on their conversations. Our experiments focus on the “StateElecTweets” dataset, comprising 1.6 million labeled tweets associated with state locations within the Unite

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A Context Ontology-Based Model to?Mitigate Root Causes of?Uncertainty in?Cyber-Physical Systemsure the quality and reliability of a CPS, uncertainty is regarded as one of the crucial challenges that need to be effectively handled. However, the current state-of-the-art lacks in focusing on handling the root causes of uncertainty in the context of CPS. This study proposes a Context Ontology-bas

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An Approach for?Safe and?Secure Software Protection Supported by?Symbolic Execution and behaves differently on other machines. The hardware-software binding is based on Physically Unclonable Functions (PUFs). We use symbolic execution to guarantee the preservation of safety properties if the software is executed on a different machine, or if there is a problem with the PUF respons

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An Intermediate Representation for?Rewriting Cypher Queries for more sophisticated access control such as fine-grained, attribute-based access control (ABAC). Therefore, we decided for a query rewriting approach to enforce these authorizations. We propose an intermediate representation for the semantics of the query. Based on the Cypher grammar, we build an