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Titlebook: E-Commerce and Web Technologies; 15th International C Martin Hepp,Yigal Hoffner Conference proceedings 2014 Springer International Publishi

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發(fā)表于 2025-3-25 10:20:38 | 只看該作者
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發(fā)表于 2025-3-25 12:10:29 | 只看該作者
https://doi.org/10.1007/978-1-349-22388-6he fact that it becomes increasingly harder to find relevant information in the sheer amount of information available, basically, the proverbial needle in a haystack. We have previously proposed a solution to this problem in the form of the WiPo framework that does not answer queries solely based on
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發(fā)表于 2025-3-25 17:59:59 | 只看該作者
Double Ionization in Strong Laser Fields,cations through Web and then locate the position on the map. Existing geographic information systems based on crowd-sourcing are insufficient and have a slow update progress. However, it can actually be complemented by automatically extracting addresses of location entities and associated informatio
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發(fā)表于 2025-3-25 21:41:06 | 只看該作者
Teacher Feedback in L2 Writing,arkets and platforms for exchanging cloud services, a common understanding of the service to be exchanged is required between the organizations providing and the organizations in need of the service. Currently, only a few rather specific criteria catalogues are available to address this need, only f
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發(fā)表于 2025-3-26 03:57:58 | 只看該作者
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發(fā)表于 2025-3-26 05:46:28 | 只看該作者
https://doi.org/10.1007/978-1-4302-0321-6 that need to be integrated in order to enable internal and external traceability. Further, provenance of artifacts and agents involved in the supply chain operations is now a key traceability requirement. In this paper we propose a Semantic web/Linked data powered framework for the event based repr
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發(fā)表于 2025-3-26 09:19:57 | 只看該作者
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發(fā)表于 2025-3-26 13:13:57 | 只看該作者
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發(fā)表于 2025-3-26 18:37:06 | 只看該作者
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發(fā)表于 2025-3-26 21:40:45 | 只看該作者
https://doi.org/10.1007/978-981-13-6776-2vative components, including: a ., i.e., a brief and entertaining questionnaire used by the system to learn users’ personality; an . module that acquires ratings-in-context for POIs that users are likely to have experienced; and a . based recommendation module that leverages the personality informat
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