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Titlebook: Web Information Systems and Technologies; 16th International C Massimo Marchiori,Francisco José Domínguez Mayo,Jo Conference proceedings 20

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樓主: 喝水
11#
發(fā)表于 2025-3-23 09:59:12 | 只看該作者
12#
發(fā)表于 2025-3-23 17:37:33 | 只看該作者
,LDViz: A Tool to?Assist the?Multidimensional Exploration of?SPARQL Endpoints,howing how users can perform searches through SPARQL queries and explore multiple perspectives of the resulting data through multiple complementary visualization techniques. We also demonstrate the reach and generic aspects of our tool through an evaluation that tests the support of 419 different SPARQL endpoints.
13#
發(fā)表于 2025-3-23 21:15:38 | 只看該作者
14#
發(fā)表于 2025-3-23 23:58:32 | 只看該作者
Virtual Testing Environment for Smart Automations in the Internet of Things, smaller scale home-based ecosystems targeted to individuals and families. While the choice of functionality in large ecosystems is the responsibility of respective authorities, in home setups smartness implies individualization of automations. In this context, the notion of end-user programming gai
15#
發(fā)表于 2025-3-24 02:21:20 | 只看該作者
,Machine Learning Based Finding of?Similar Sentences from?French Clinical Notes,edundancy in clinical notes makes their secondary use limited. Due to lack of resources, this task is a key challenge for French clinical documents. In this paper, we introduce a semantic similarity computing approach between French clinical sentences based on supervised machine learning algorithms.
16#
發(fā)表于 2025-3-24 07:07:38 | 只看該作者
Virtual Testing Environment for Smart Automations in the Internet of Things, smaller scale home-based ecosystems targeted to individuals and families. While the choice of functionality in large ecosystems is the responsibility of respective authorities, in home setups smartness implies individualization of automations. In this context, the notion of end-user programming gai
17#
發(fā)表于 2025-3-24 13:31:27 | 只看該作者
18#
發(fā)表于 2025-3-24 15:28:24 | 只看該作者
,Machine Learning Based Finding of?Similar Sentences from?French Clinical Notes,edundancy in clinical notes makes their secondary use limited. Due to lack of resources, this task is a key challenge for French clinical documents. In this paper, we introduce a semantic similarity computing approach between French clinical sentences based on supervised machine learning algorithms.
19#
發(fā)表于 2025-3-24 21:25:45 | 只看該作者
20#
發(fā)表于 2025-3-25 00:21:11 | 只看該作者
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