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Titlebook: Engineering the Web in the Big Data Era; 15th International C Philipp Cimiano,Flavius Frasincar,Daniel Schwabe Conference proceedings 2015

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發(fā)表于 2025-3-23 10:10:00 | 只看該作者
https://doi.org/10.1007/978-1-4757-0815-8e modified by external scripts, their owners might lose control about how Web site contents are delivered. To prevent this, they might be tempted to modify the structure of Web pages thus making harder to execute external scripts. However, communities of Web augmentation scripters are increasing sin
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發(fā)表于 2025-3-23 14:56:36 | 只看該作者
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發(fā)表于 2025-3-23 18:46:23 | 只看該作者
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發(fā)表于 2025-3-24 00:49:27 | 只看該作者
https://doi.org/10.1007/978-1-60761-685-6social media data. A novel two dimensional ad hoc topic map is proposed (called Beomap). The main novelty of Beomap is that it allows a user to define an ad hoc semantic dimension with a keyword query when visualizing topics in text data. This not only helps to impose more meaningful spatial dimensi
15#
發(fā)表于 2025-3-24 03:19:47 | 只看該作者
https://doi.org/10.1007/978-1-4939-7431-3ss, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online
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發(fā)表于 2025-3-24 10:23:44 | 只看該作者
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發(fā)表于 2025-3-24 11:34:42 | 只看該作者
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發(fā)表于 2025-3-24 15:08:09 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/311052.jpg
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發(fā)表于 2025-3-24 19:55:40 | 只看該作者
https://doi.org/10.1007/978-3-319-19890-3Browsers; Cloud computing; Content ranking; Crowdsource; Crowdsourcing; Data extraction and integration; E
20#
發(fā)表于 2025-3-24 23:20:35 | 只看該作者
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