A context-aware multiple Blockchain architecture for managing low memory devices

Blockchain technology constitutes a paradigm shift in the way we conceive distributed architectures. A Blockchain system lets us build platforms where data are immutable and tamper-proof, with some constraints on the throughput and the amount of memory required to store the ledger. This paper aims to solve the issue of memory and performance requirements developing a multiple Blockchain architecture that mixes the benefits deriving from a public and a private Blockchain. This kind of approach enables small sensors - with memory and performance constraints - to join the network without worrying about the amount of data to store. The development is proposed following a context-aware approach, to make the architecture scalable and easy to use in different scenarios

Structured Knowledge Representation for Image Retrieval

We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects. As other approaches do, we start from low-level features extracted with image analysis to detect and characterize regions in an image. However, in contrast with feature-based approaches, we provide a syntax to describe segmented regions as basic objects and complex objects as compositions of basic ones. Then we introduce a companion extensional semantics for defining reasoning services, such as retrieval, classification, and subsumption. These services can be used for both exact and approximate matching, using similarity measures. Using our logical approach as a formal specification, we implemented a complete clientserver image retrieval system, which allows a user to pose both queries by sketch and queries by example. A set of experiments has been carried out on a testbed of images to assess the retrieval capabilities of the system in comparison with expert users ranking. Results are presented adopting a well-established measure of quality borrowed from textual information retrieval

Development of a Metaverse Platform for Tourism Promotion in Apulia

Metaverse is an engaging way to recreate in a digital environment the real world. It allows people to connect not by just browsing a website, but by using headsets and virtual reality techniques. The metaverse is actually in a rapid development phase, thanks to the advances in different topics. This paper proposes a smart tourism platform in which tourists can interact with guides and different kinds of suppliers, without the need to phisically visit the city they are in. We propose some techniques to scan the real world and transpose it in a metaverse platform, using the recreation of an Italian city, Bari, as a real life scenario

PrOnto: an Ontology Driven Business Process Mining Tool

Abstract The main aim of data mining techniques and tools is that of identify and extract, from a set of (big) data, implicit patterns which can describe static or dynamic phenomena. Among these latter business processes are gaining more and more attention due to their crucial role in modern organizations and enterprises. Being able to identify and model processes inside organizations is for sure a key asset to discover their weak and strong points thus helping them in the improvement of their competitiveness. In this paper we describe a prototype system able to discover business processes from an event log and classify them with a suitable level of abstraction with reference to a related business ontology. The identified process, and its corresponding level of abstraction, depends on the knowledge encoded in the reference ontology which is dynamically exploited at runtime. The tool has been validated by considering examples and case studies from the literature on process mining

Digital Age of Consent and Age Verification: Can They Protect Children?

Children are increasingly accessing social media content through mobile devices. Existing data protection regulations have focused on defining the digital age of consent, in order to limit collection of children’s personal data by organizations. However, children can easily bypass the mechanisms adopted by apps to verify their age, and thereby be exposed to privacy and safety threats. We conducted a study to identify how the top 10 social and communication apps among underage users apply age limits in their Terms of Use. We also assess the robustness of the mechanisms these apps put in place to verify the age of their users. Moreover, we discuss how automated age recognition techniques can be adopted to increase the effectiveness of the age verification process. Finally, we provide recommendations to app providers and developers to specify the Terms of Use and implement robust age verification mechanisms

Automatic Support for Verification of Secure Transactions in Distributed Environment using Symbolic Model Checking

Electronic commerce needs the aid of software tools to check the validity of business processes in order to fully automate the exchange of information through the network. Symbolic model checking has been used to formally verify specifications of secure transactions in a system for business-to-business applications. The fundamental principles behind symbolic model checking are presented along with techniques used to model mutual exclusion of processes and atomic transactions. The computational resources required to check the example process are presented, and the faults are detected through symbolic verification

A Smart IoT-Aware System For Crisis Scenario Management

In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex Event Processing engine and to a rule engine-based reflective middleware that manages and analyzes raw data in conjunction with a knowledge base modeling the application domain

Description Logics Approach to Semantic Matching of Web Services

As more resources and services become available on the Web, there is a growing need for infrastructures that, based on advertised descriptions, semantically match in a peer-to-peer way providers with requesters of web services. We address the problem of matchmaking of web services from a knowledge representation perspective. Based on our approach we propose match categorization in terms of exact match, potential match – when request and offer though not identical are compatible – and partial match – when one or more inconsistency is present – and rank of matches within categories. Then we report on our implementation of the proposed matchmaking framework in a prototype system

A Smart IoT-Aware System For Crisis Scenario Management

In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex Event Processing engine and to a rule engine-based reflective middleware that manages and analyzes raw data in conjunction with a knowledge base modeling the application domain

Blockchain Technology to Support Agri-Food Supply Chains: A Comprehensive Review

Blockchain technology is a distributed ledger that guarantees the immutability of data and asset tracking. Its characteristics can result in an improvement to traditional agri-food Supply Chains. Blockchain-based traceability systems let producers improve their visibility and consumers trust the products they buy and where they come from. Actual literature lacks an exhaustive analysis of the benefits and drawbacks of Blockchain applied to the agri-food domain. This paper aims to overcome this issue: to understand the state-of-the-art related to the application of Blockchain in the agri-food sector, we screened 183 papers and performed a literature review answering six Research Questions. The work takes into consideration the advantages and disadvantages of implementing such paradigm, with an analysis on the role of industries. The main findings are related to research directions: they regard the lack of training both for industries and stakeholders, the involvement of additional technologies (i.e., Big Data, Edge Computing), and the absence of supporting tools for developers