The Web of Things (WoT) is becoming a more and more common implementation choice in recent Internet of Things (IoT) devices. However, these devices are still limited in terms of providing truly useful knowledge; the devices only provide implementation specific information most of the time. In order to move towards a truly "smart" future, society needs services that process the information from the real world through IoT/WoT devices into useful knowledge so as to utilize the knowledge to provide high-level insights (Wisdom) or autonomic services (Wisdom as a Service). In turn, humans use these insights provided by the services to interact with the real world. This notion of data cycling is known as the Wisdom Web of Things (W2T).
W2T leverages WoT and Cloud Computing to provide the information and computational power needed. In this thesis, methodology for building a W2T platform and the major components which are used in the W2T platform will be introduced first. Then, the design principles and corresponding open challenges and problems for each of
the major components will be inspected. After that, various possible architecture and approaches on implementing a W2T platform will be analyzed and compared. Next, the feasibility of W2T platforms based on various use-cases as well as the implementations and architecture proposed will be evaluated. Finally, this author will conclude the findings based on this evaluation.

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