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Polytechnic University of Bari | Poliba · Dipartimento di Ingegneria Elettrica e dell’Informazione

(Full-text: https://doi.org/10.1016/j.iot.2024.101439) The ever-complex information environments and rapidly expanding data volumes of the modern digital infrastructure demand efficient knowledge organization and retrieval techniques. The Semantic Web initiative has defined principles and technologies, such as the Resource Description Framework (RD...

Digital-twin platforms are increasingly adopted in energy infrastructure management for smart grids. Novel opportunities arise from emerging artificial intelligence technologies to increase user trust by enhancing predictive and prescriptive analytics capabilities and by improving user interaction paradigms. This paper presents a novel data-driven...

Emerging distributed intelligence paradigms for the Internet of Things (IoT) call for flexible and dynamic reconfiguration of elementary services, resources and devices. In order to achieve such capability, this paper faces complex interoperability and autonomous decision problems by proposing a thorough framework based on the integration of the Se...

In the Semantic Web of Everything, observation data collected from sensors and devices disseminated in smart environments must be annotated in order to produce a Knowledge Base (KB) or Knowledge Graph (KG) which can be used subsequently for inference. Available approaches allow defining complex data models for mapping tabular data to KBs/KGs: while...

The World Wide Web is increasingly adopted as an application development platform in desktop and mobile contexts. As a building block of the Semantic Web of Everything vision, reasoning engines should be able to run in the client side of Web applications without resorting to remote servers for inference tasks. In order to fill a gap in the availabi...

Machine Learning (ML) is increasingly exploited in a wide range of application areas to analyze data streams from large-scale sensor networks, train predictive models and perform inference. The Cloud-Edge Intelligence (CEI) computing paradigm integrates cloud infrastructures for resource-intensive ML tasks with devices at the border of a local ne...

(Full text: http://sisinflab.poliba.it/Publications/2023/LSRGIFBLD23) Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intelligence is increasingly adopted to...

(Full text: http://sisinflab.poliba.it/Publications/2023/LSRGB23) Video streaming accounts for the majority of worldwide Internet traffic, and HTTP-based multimedia has the largest share among technologies and protocols. The wide availability of mobile devices and wireless broadband networks currently leads to wider heterogeneity of fruition contex...

Software-Defined Networking exploits Network Function Virtualization to face the challenges of modern enterprise networks, integrating cloud and Internet of Things deployments. Conventional methodologies are often inadequate, whereas novel approaches based on Artificial Intelligence can achieve the required levels of flexibility and scalability. Th...

The integration of blockchain platforms with Artificial Intelligence (AI) technologies is increasingly frequent in research and industry. Semantic Web technologies provide peculiar opportunities, since they have been devised for information interoperability at Web scale and enable intelligent software agents for knowledge-driven task automation and...

The Semantic Web of Everything, a blend of the emerging Internet of Everything and well-established Semantic Web paradigms, demands efficient cross-platform knowledge management technologies and tools, able to span the wide variety of devices it aims to support. This paper presents Cowl, a C library for processing Web Ontology Language (OWL) 2 onto...

The Semantic Web of Things enables the exchange of knowledge fragments through machine-to-machine interactions, supporting collaborative decision-making among ubiquitous smart objects. Available methodologies, however, have often limited generality of applications and interpretability of results. This paper introduces early work on a novel structur...

Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intelligence is increasingly adopted to execute inference on data at the border of local networks, exploiting...

(Full text: http://sisinflab.poliba.it/Publications/2022/RSBGLIP22) The Internet of Everything and Semantic Web can be joined by giving more intelligence to pervasive systems. To that end, reasoning capabilities should be enabled even for very resource-constrained embedded devices. This paper presents Tiny-ME (the Tiny Matchmaking Engine), a matchm...

(Full text: http://sisinflab.poliba.it/Publications/2021/SBRGL21) Performance evaluation is increasingly relevant for Web Ontology Language (OWL) reasoners, due to the expanding availability of knowledge corpuses on the Web, the growing variety of applications, and the rise to prominence of mobile and pervasive computing. Motivated mainly by the di...

Current UAV technology has led to an exponential growth in the potential applications of drones in both the military and the civilian fields. Therefore, drone missions must be subject to regulations that ensure safety in operations, especially in Urban Air Mobility tasks. Nevertheless, unpredictable conditions may lead drones to dangerous routes, e...

The benefits of automatic identification technologies in healthcare have been largely recognized. Nevertheless, unlocking their potential to support the most knowledge-intensive medical tasks requires to go beyond mere item identification. This paper presents an innovative Decision Support System (DSS), based on a semantic enhancement of Near Field...

Background Systemic Sclerosis (SSc) is a connective tissue disease characterized by severe alterations in the microvasculature and progressive fibrosis of the skin and internal organs [1]. Management of SSc is not easy, for both patients and physicians [2]. Symptoms are manifold and have a significant impact on patient’s daily autonomy and psycholo...

Technical documentation is evolving from static contents presented on paper or via digital publishing to real-time on-demand contents displayed via virtual and augmented reality (AR) devices. However, how best to provide personalized and context-relevant presentation of technical information is still an open field of research. In particular, the sy...

The Semantic Web of Things (SWoT) integrates knowledge representation and reasoning techniques originally devised for the Semantic Web into Internet of Things architectures, in order to provide more advanced service/resource management and discovery. This paper proposes a novel SWoT framework, enabling collaborative discovery of sensors and actuato...

Mobile reasoners play a pivotal role in the so-called Semantic Web of Things. While several tools exist for the Android platform, iOS has been neglected so far. This is due to architectural differences and unavailability of OWL manipulation libraries, which make porting existing engines harder. This paper presents Mini-ME Swift, the first Descripti...

The final goal of Affective Computing is in allowing to recognize human emotional states by means of automatic procedures. Despite scientific literature evidences the concrete usefulness of possible approaches based on biosignals analysis to detect and correctly classify emotions, existing systems and tools are generally too invasive for common sub...

The cognitive and computational neurosciences have developed neurorehabilitative tools able to treat suffering subjects from early symptoms, in order to give priority to a home environment. In this way, the curative treatment would not burden the hospital with excessive costs and the patient with psychological disorientation. Recent studies have sh...

Novel Internet of Things (IoT) applications and services rely on an intelligent understanding of the environment leveraging data gathered via heterogeneous sensors and micro-devices. Though increasingly effective, Machine Learning (ML) techniques generally do not go beyond classification of events with opaque labels, lacking machine-understandable...

Ambient Intelligence aims at simplifying the interaction of a user with her surrounding context, minimizing the effort needed to increase comfort and assistance. Nevertheless, especially in built and structured environments, current technologies and market solutions are often far from providing the required levels of automation, coordination and ad...

A new mobile healthcare system for neuro-cognitive function monitoring and treatment is presented. The architecture of the system features sensors to measure the brain potential, localized data analysis and filtering, and in-cloud distribution to specialized medical personnel. As such, it presents tradeoffs typical of other cyber-physical systems,...

Vehicular Ad-hoc Networks (VANETs) are a challenging IoT scenario. While research is proposing increasingly sophisticated hardware and software solutions for on-board context detection, probably high-level context information sharing has not been adequately addressed so far. This paper proposes a novel logic-based framework enabling a contextual da...

The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed for standard inference tasks on large ontologies. On the contra...

This paper proposes a novel Semantic Web of Things framework, enabling collaborative discovery of sensors and actuators in pervasive contexts. It is based on a backward-compatible extension of the Constrained Application Protocol (CoAP), supporting advanced semantic matchmaking via non-standard inference services. The framework also integrates effi...

An exhibition system is typically a physical open space made of several buildings devoted to performing demonstrations or social activities. Several examples of exhibition systems can be found word wide. The management of these spaces, even in presence of a limited number of activities, requires significant efforts: safety, welcome, merchandising,...

Supply chains can be seen as cyber-physical networks grounded on object identification and tracking. Conventional trust models featuring centralized information management architectures and simplistic things classification lend two of the most relevant limitations to current solutions. Blockchain introduces novel and a valuable trust approaches whi...

The progress of building automation devices and networks is curbed by application models with limited device autonomy, static configuration scenarios and frequent explicit user interaction. This paper presents a novel approach inspired to social network interactions for increased object self-configuration and self-orchestration in home and building...

The Physical Semantic Web is proposed as an enhancement to the Google Physical Web approach for the Internet of Things. It allows associating beacons to semantic annotations (instead of trivial identifiers), in order to enable more powerful expressiveness in human-things and things-things interactions. This paper presents a general frame-work for t...

The paper proposes a knowledge-based framework for mobile autonomous robots. It exploits data annotation for semantic-based context description. High-level event/situation detection and action decision are performed through a semantic matchmaking approach, supporting approximate matches and relevance-based ranking. The framework was fully implement...

Semantic Web and Internet of Things are progressively converging, but the lack of reasoning tools for mobile devices on the iOS platform may hinder the progress of this vision. The paper presents an early redesign of OWL API for iOS. A partial port has been developed, effective enough to support mobile reasoning engines in a moderately expressive f...

The Linked Data Platform (LDP) W3C Recommendation defined resource management primitives for HTTP only, pushing into the background not-negligible use cases related to Web of Things (WoT) scenarios where HTTP-based communication and infras- tructures are unfeasible. This paper proposes a mapping of the LDP specification for Constrained Application...

This paper presents a knowledge-based approach for resource discovery, allotment and sharing in distributed pervasive scenarios. The proposed framework enables semantic-based resource retrieval exploiting non-standard inferences and a novel method for ontology dissemination and rebuilding. The approach can enhance any publish/subscribe message-orie...

This paper proposes a mapping of the Linked Data Platform (LDP) specification for Constrained Application Protocol (CoAP). Main motivation stems from the fact that LDP W3C Recommendation presents resource management primitives for HTTP only. A general translation of LDP-HTTP requests and responses is provided, as well as a framework for HTTP-to-CoA...

This paper proposes a novel mobile healthcare system for remotely monitoring neuro-cognitive functions of impaired subjects and proposing possible treatments. Currently, only hospital centers perform similar analyses through fixed and wired electroencephalography (EEG) inspection. The solution proposed here works wirelessly and improves its accurac...

The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT). It aims to enable smart semantic-enabled applications and services in ubiquitous contexts. Due to architectural and performance issues, it is currently impractical to use existing Semantic Web reasoners. They are resource consuming and...

Previous studies indicate that the motor cortex and the cortico-spinal tract contribute to the control of walking in human subjects. This paper proposes a wireless wearable, noninvasive system to monitor the coupling between EEG and EMG from active leg muscles during gait. The system is designed for the detection of the evoked potential in the moto...

The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT), joining semantic-based intelligence and pervasiveness. Existing Semantic Web reasoners are currently impractical for SWoT, as they are resource consuming and optimized for standard inference tasks on large ontologies. On the contrary,...

Pervasive applications and services are increasingly based on the intelligent interpretation of data gathered via heterogeneous sensors dipped in the environment. Classical Machine Learning (ML) techniques often do not go beyond a basic classification, lacking a meaningful representation of the detected events. This paper introduces a early proposa...

Collaborative paradigms are essential in ubiquitous computing. Swarm intelligence can deal with complex problems deriving from the intrinsically unpredictable nature of mobile and pervasive scenarios. This paper introduces a novel reasoning framework for information fusion in multi-agent systems, encompassing a data dissemination protocol and non-s...

The paper describes the architecture of a non-invasive, wireless system for fall prevention. The system includes: i) a wearable electroencephalography (EEG) and electromyography (EMG) measurement subsystem that detects the occurrence of unintentional limb movements as sign of a potential fall, and ii) a computing subsystem that classifies EEG-EMG s...

The Augmented Reality (AR) is often said to have the potential for a revolution in the way we discover Points Of Interest (POIs) and experience our cities. Nevertheless, to date the AR promise has only partially become true, because the information content supporting location-based resource discovery is usually shallow. Semantic-based technologies...

The pursuit of new tools for monitoring the quality level of any kind of perishable product, in particular food, along all the supply chain, answers to the demand of reducing losses and waste and thus guaranteeing both customers’ safety and satisfaction and vendors’ interests. The combination of sensors with the wireless network technology offers a...

This paper summarizes all research advancements obtained by the Politecnico di Bari through the RES NOVAE Project activities in the field of the smart grids. Such activities have been aimed at bringing substantial contributions in the development of smart grid in medium-voltage and low-voltage distribution systems. Since the scientific approach to...

The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT). It aims to enable smart semantic-enabled applications and services in ubiquitous contexts. Due to architectural and performance issues, it is currently impractical to use existing Semantic Web reasoners. They are resource consuming and...

The automatic detection of human activities requires large computational resources to increase recognition performances and sophisticated capturing devices to produce accurate results. Anyway, often innovative analysis methods applied to data extracted by off-the-shelf detection peripherals can return acceptable outcomes. In this paper a framework...

Home and building automation (HBA) trends toward the Ambient Intelligence paradigm, which aims to autonomously coordinate and control appliances and subsystems in a given environment. Nevertheless, HBA is based on an explicit user-home interaction and basically enables static and predetermined scenarios. This paper proposes a more flexible multi-ag...

Current mobile systems for assisted navigation have limited effectiveness in satisfying user needs. The information content supporting location-based service discovery and path calculation is usually shallow. Semantic-based technologies can allow to overcome these limitations, by exploiting accurate and meaningful descriptions of locations, Points...

The Internet of Things (IoT) vision is a hot research topic which enables all kinds of devices to connect together and share information seamlessly. IEEE 802.15.4 Low power Wireless Personal Area Networks (LoWPAN) and IPv6 over LoWPAN (IETF 6LoWPAN) defines standards and protocols for resource constrained Wireless Sensor Networks (WSN). Constrained...

The Semantic Web of Things (SWoT) vision aims to provide more advanced resource management and discovery w.r.t. standard Internet of Things architectures, by means of the integration of knowledge representation and reasoning techniques originally devised for the Semantic Web. This paper proposes a novel SWoT framework, based on a backward-compatibl...

The merging of Semantic Web technologies and the Internet of Things is originating the so-called Semantic Web of Things (SWoT), which promises to seamlessly integrate the real and digital worlds, to further enhance the available services in smart spaces and to increase the number of communicating users and objects. This paper presents a semantic co...

Nowadays smartphones play a significant role in gathering relevant data about their owners. Micro-devices embedded in Personal Digital Assistants (PDAs) perform a continuous sensing, the phone call lists, PIM (Personal Information Manager), text messages and so on allow to collect and mine data enough for a high-level description of daily activitie...

The Semantic Web of Things (SWoT) blends the Semantic Web and the Internet of Things visions. Due to architectural and performance issues, it is currently impractical to use available reasoners for processing semantic-based information in pervasive computing scenarios. This paper presents a prototypical mobile matchmaker for the SWoT, supporting Se...

Reasoning in pervasive computing has to face computational issues inherited by mobile platforms. This paper presents a prototypical reasoner for mobile devices, which leverages Semantic Web technologies to implement both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction) inferences for moderately expres...

The Semantic Web of Things is a novel paradigm combining the Semantic Web and the Internet of Things, aiming to associate semantic annotations to real-world objects, locations and events. This paper presents a general framework for the Semantic Web of Things, based on an evolution of classic Knowledge Base models, also providing architectural solut...

Current mobile systems for assisted navigation have limited effectiveness in satisfying user needs. The information content supporting location-based service discovery and path calculation is usually shallow. Semantic-based technologies can allow to overcome these limitations, by exploiting more accurate and meaningful descriptions of locations, po...

Ambient Intelligence aims at autonomic coordination and control of appliances and subsystems located in a given environment. Home and Building Automation (HBA) complies with this paradigm but it is based on an explicit interaction with the user and a static set of operational scenarios. This paper pro-poses a more flexible multi-agent approach, lev...

Main restraints curbing a deep integration of Semantic Sensor Networks with complex and articulated architectures, basically residein too elementary allowed discovery capabilities. Several studies agree advanced querying and retrieval mechanisms are needed to truly fulfill the potential of the SSN paradigm. This paper presents a novel SSN framework...

The Semantic Web of Things (SWoT) is a novel paradigm, blending the Semantic Web and the Internet of Things visions. Due to architectural and performance issues, it is currently impractical to use available reasoners for processing semantic-based information and perform resource discovery in pervasive computing scenarios. This paper presents a prot...

The research proposal concerns the use of machine learning techniques for data mining in pervasive environments. It will lead to the formalization of a framework, able to translate series of "raw" data in high-level knowledge. Novel machine learning approaches, interpreting data coming from the environment that surrounds users, will be liver- Aged....

Home and building automation aims at improving features and capabilities of household systems and appliances. Nevertheless, cur- rent solutions poorly support dynamic scenarios and context-awareness. The integration of knowledge representation features and reasoning tech- niques (originally devised for the Semantic Web) into standard home automatio...

This paper describes a knowledge-based framework for a driving assistance via smartphone. Vehicle information extracted through On Board Diagnostics (OBD-II) protocol, data acquired from smartphone embedded micro-devices and information retrieved from the Web are properly combined. Data fusion and classification algorithms allow to identify and ann...

A stream is a time-ordered sequence of data values. It is possible to define a semantic stream as a time-ordered sequence of metadata, i.e., a concept stream. It may derive from a collection of semantic annotations referred to objects/subjects whose status evolves during a process as in case of product flow in supply chains. Although a concrete add...

Domotics aims to improve features and capabilities of building systems and appliances. In spite of increasing self-management of electrical equipments, current solutions refer to static scenarios and require an explicit and elementary interaction with the user. Hence the real pervasiveness and context-awareness of enabled functions is still poor. T...

Reasoning engines are largely used in resource discovery and matchmaking scenarios where, given a request, they are able to provide a list of compatible items arranged in relevance order. A significant added value is the possibility to explain match outcomes in order to obtain information for modifying or refining early queries. Though the feasibil...