Synapse
发表于 2025-3-23 11:07:05
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尊敬
发表于 2025-3-23 14:10:43
Non-line-of-sight Collision Warning Systemis that every event in the log must be associated with a unique case identifier (e.g., the order ID in an order-to-cash process). In reality, however, this case ID may not always be present, especially when logs are acquired from different systems or when such systems have not been explicitly design
amnesia
发表于 2025-3-23 21:56:14
Non-line-of-sight Collision Warning System is so-called Knowledge-intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-intensive Process Ontology (KiPO) and its subjacent notation (KiPN). How
散布
发表于 2025-3-24 02:05:59
https://doi.org/10.1007/978-1-4615-4271-1nguage, the usability of the modeling tool, and the expertise of the modeler are among the key factors defining the difficulty of a modeling task. Following a qualitative analysis approach, this work explores a hybrid modeling technique enhanced with a tool (i.e., the Highlighter) to guide the trans
ordain
发表于 2025-3-24 03:12:56
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/235000.jpg
会议
发表于 2025-3-24 06:30:47
https://doi.org/10.1007/978-3-030-33223-5artificial intelligence; big data; Business Process Management (BPM); cloud computing; conceptual modeli
是突袭
发表于 2025-3-24 14:29:26
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Radiculopathy
发表于 2025-3-24 17:20:13
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Scintigraphy
发表于 2025-3-24 22:20:47
https://doi.org/10.1007/978-3-662-47412-9hrough the era of big data and now to an era of digitalization. Many of the traditional data challenges remain, which can be presented and understood in terms of data semantics, structure, syntax, and situation. Implications are provided for continued work on these well-known challenges with respect to an emerging technology.
龙虾
发表于 2025-3-25 01:48:38
https://doi.org/10.1007/978-3-662-47412-9dipitous search as a strategy to diversify answers. Finally, it briefly presents the entity relatedness problem, which refers to the problem of exploring an RDF dataset to discover and understand how two entities are connected.