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Titlebook: Web Engineering; 18th International C Tommi Mikkonen,Ralf Klamma,Juan Hernández Conference proceedings 2018 Springer International Publishi

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樓主: Philanthropist
61#
發(fā)表于 2025-4-1 01:59:23 | 只看該作者
Improving Legacy Applications with Client-Side Augmentations application ecosystem, they are also often used to access Web sites which are not property rendered in such devices. Adapting existing sites to be usable on this kind of devices (with a reduced viewport), techniques like Responsive Design and Progressive Web Applications have appeared, proposing gu
62#
發(fā)表于 2025-4-1 06:46:10 | 只看該作者
63#
發(fā)表于 2025-4-1 13:01:45 | 只看該作者
64#
發(fā)表于 2025-4-1 14:40:49 | 只看該作者
65#
發(fā)表于 2025-4-1 19:03:25 | 只看該作者
Leveraging Analysis of User Behavior from Web Usage Extraction over DOM-tree Structurens exploit server web logs. We advocate that collecting client web logs, which contain more detailed information regarding web elements at DOM-tree level, is more effective to understand the user behavior. As the volume of client log data is significantly larger than the volume of server logs, we pr
66#
發(fā)表于 2025-4-2 00:58:54 | 只看該作者
67#
發(fā)表于 2025-4-2 04:37:19 | 只看該作者
Selectivity Estimation for SPARQL Triple Patterns with Shape Expressions on computing ranks for query triple patterns, which indicates their order of execution. We first define a set of well-formed ShEx schemas, that possess interesting characteristics for SPARQL query optimization. We then define our optimization method by exploiting information extracted from a ShEx s
68#
發(fā)表于 2025-4-2 10:08:25 | 只看該作者
69#
發(fā)表于 2025-4-2 12:57:25 | 只看該作者
Efficiently Pinpointing SPARQL Query Containmentsry rewriting. For example, recent SPARQL engines built on Big Data frameworks that precompute solutions to frequently requested query patterns, are conceptually an application of query containment. We present an approach for solving the query containment problem for SPARQL queries – the W3C standard
70#
發(fā)表于 2025-4-2 16:35:57 | 只看該作者
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