Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 14th International J Frans Coenen,Ana Fred,Joaquim Filipe Conference p

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From Natural Language Texts to RDF Triples: A Novel Approach to Generating e-Commerce Knowledge Grapveraged KGs to perform a range of tasks, including advertisement and product recommendation. However, generating accurate, trustworthy, and scalable RDF triples for populating KGs remains a challenging and error-prone task, especially given the lack of accurate and complete data. This article presen

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Archives Metadata Text Information Extraction into CIDOC-CRMtural Language processing is done by using two methodologies: the ANNIE system, by defining proper Gazetteers and Jape rules to process the text and extract the intended information; and a reduced Portuguese BERT Language model that is fine-tuned for Semantic Role Labelling. The evaluation of the In

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System to Correct Toxic Expression with BERT and to Determine the Effect of the Attention Valueand influence of the system. In recent years, toxicity on social media has created many problems. We evaluated the effectiveness of the proposed system for identifying toxic sentences using a prediction model based on Bidirectional Encoder Representations from Transformers (BERT) and then converting

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Measuring Augmented Reality and Virtual Reality Trajectory in the Training Environmentcorporate training environment left mostly unchanged was in-person training. Until the last decade, in-person training with real world simulation was understood to achieve the highest knowledge transfer through experiential learning. With COVID-19 and the prevalence of hybrid work, companies started