The objective of this research and innovation project has been to develop the next generation of Internet search engines, supporting crawling, discovery, search and integration of IoT data. Additionally it provides tools and mechanisms to respond to machine-initiated search, offers adaptive and dynamic solutions for resource ranking and selection and more importantly; enables integration of the IoT data and services into the analytics pipelines.
IoTCrawler offers distributed crawling and indexing mechanisms, enabling real-time (or near real-time) discovery and search of massive real world (IoT data streams), in a secure and privacy- and trust-aware framework. It also provides quality analysis for the data streams, information abstraction and develops query and search ,ranking and selection enablers to respond to spatial and multi-modal data queries in future communication networks. This creates a scalable search engine for future Internet. As the Web search engines and, in particular, Google’s PageRank algorithm changed the way people find and access the information on the Web (by deep crawling/indexing and utilising the links between the Web pages and documents), IoTCrawler changes the way the data (especially new forms such as IoT data) can be published and accessed in large-scale distributed networks, paving the way for creating new applications and services that rely on ad-hoc and dynamic data/service query and access.
Following the goal of generating impact and ensuring a wider uptake of the solutions and ideas a dissemination plan was followed, establishing the goals, generating awareness and engagement, and finally generating impact via different routes and activities; such as video demonstrations and tutorials, reaching a larger online audience, webinars and other events and presentations. Finally, during the span of the project, a total of 44 publications have been completed, exceeding our initial goal.
Business exploitation and commercialization were the ultimate goals of IoTCrawler. After careful planning, partners identified individual and joint exploitation assets, using LEAN Canvases to drive the prosecution of the business plan developments, which resulted in the creation of the Action Plans, Memorandums of Understanding, Elevator Pitch and finally Investor Presentation. Additionally, a selection of assets were identified and presented to different potential partners, some of them contemplating the possibility of commercialisation.
