The cultural heritage of the italian territory is an impressive breadth of resources, unfortunately still little known today. Such a cultural heritage should be valued for the purpose is to better understand the Italian citizens their cultural identity, is to make known to the citizens of other nations the history of the place, with its story and its characters, and the life of the inhabitants, with their own traditions and customs. In this paper, it is introduced an adaptive Context-Aware app able to collect not-structured data, belonging to heterogeneous sources and develop tailored recommendations for the user, in order to support a tourist inside a town. The solution found takes advantage of information technologies, like Internet of Thing and Internet of Services and the objective is reached through the use of a system of description of the context through a graphical formalism named Context Dimension Tree. The system described was implemented in the city of Salerno in Italy and the results of a questionnaire distributed to the users show great appreciation.
We present a novel Web-based Device Workflow Management Engine (WDWME) that supports seamless control and coordination of hardware devices. With this workflow engine, a series of activities or workflows regarding hardware functionality or services can be rapidly created via drag and drop. A working web-based workflow prototype has been developed as a proof of concept and tested using a device simulator to capture the task executions. In this work, a Feature Interaction Detection Engine (FIDE) is employed to validate the possible operation conflicts during the creation and pre-execution of a workflow. Additional JustifiedEvent-Condition-Action (JECA) rule and a Case-Based Reasoning (CBR) are proposed as future work to enhance the system's exception handling capability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.