From the very early days, and due to its unprecedented opportunities and advantageous facilities, the Web has been revolutionizing almost every aspects of human life, technology, etc. As a dynamic phenomenon, the Web itself has experienced several major evolution stages. Such fundamental changes never thought to abolish predecessor technologies and concepts but taking them to a new level of functionality. In fact, these paradigm shifts are necessary and inevitable in order to take advantages of state of the art technologies and approaches. In this regard, social Web, semantic Web and similar nomenclatures aimed to emphasize the key idea that best represents the latest achievements and possibly future directions. Thanks to many years of research and development, the current state (version) of the Web puts forward some outstanding opportunities both to make the most of available resources/capabilities and establish the foundation of the future Web. Specifically, convergence of human intelligence (of Web users), machine intelligence (of Web agents) and intelligence of things (through Web of Things) toward shaping Web of Intelligence (WoI) can be regarded as a breakthrough in the field. The major contribution of this work is proposing a Web-based conceptual model for intelligence harvesting (i.e. Web of Intelligence) through which humans, machines and things could collaborate to solve large scale intelligence-intensive problems in a more efficient and effective way. The rationale behind this idea, its building blocks and related considerations are delineated in this paper. Moreover, a novel application based on the proposed concept, entitled comprehensive intelligent search, is introduced.