1,721,074 research outputs found
Non-standard inference services for mobile computing: concept abduction via m-OODBMS
No full textThough increased potentialities of handheld devices allow to apply discovery approaches designed for the Semantic Web, care has to be paid in re-designing original frameworks and algorithms. The paper presents a revision of basic inference services leveraging object-oriented Database Management System to perform semantic matchmaking and provide logical explanations. OWL-DL Knowledge Bases have been properly migrated towards an object oriented version to enable reasoning by addressing proper queries to a mobile DB. The proposed framework has been implemented and tested: preliminary results have been reporte
Concept Abduction and Contraction in Semantic-based P2P Environments
No full textReasoning 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 feasibility of running logic-based reasoning tasks over various knowledge bases has been widely proven on fixed servers, it is a challenging subject to execute inference processes on handheld devices. The paper presents a revised lightweight version of abduction and contraction algorithms (going back to previous works) for matchmaking in Description Logics in mobile ad-hoc contexts. Implementation and tests have been carried out in a mobile P2P case study based on a simplified Bluetooth interaction paradigm
Building a Semantic Web of Things: Issues and Perspectives in Information Compression
No full textThe paper surveys some relevant issues related to data management in pervasive environments. Particularly, it focuses on the compression of semantic annotations for building so called Semantic Web of Things. An approach is proposed to achieve good compression ratios, to maintain compression effectiveness and finally to query compressed data without requiring expensive decompression phases. Experimental results prove the goodness of the proposed framework
Semantic Matchmaking for Location-Aware Ubiquitous Resource Discovery
No full textSemantic technologies can increase effectiveness of
resource discovery in mobile environments. Nevertheless, a full
exploitation is currently braked by limitations in stability of
data links and in availability of computation/memory
capabilities of involved devices. This paper presents a
platform-independent mobile semantic discovery framework
as well as a working prototypical implementation, enabling
advanced knowledge-based services taking into account user’s
location. The approach allows to rank discovered resources
based on a combination of their semantic similarity with
respect to the user request and their geographical distance
from the user itself, also providing a logic-based explanation of
outcomes. A distinguishing feature is that the presented mobile
decision support tool can be proficiently exploited by a
nontechnical user thanks to careful selection of features, GUI
design and optimized implementation. The proposed approach
is clarified and motivated in a ubiquitous tourism case study.
Performance evaluations are presented to prove its feasibility
and usefulness
A Ubiquitous Knowledge-based System to Enable RFID Object Discovery in Smart Environments
No full textA ubiquitous Knowledge Base (u-KB) is a distributed and decentralized knowledge base where the factual knowledge (i.e. individuals) is scattered between objects disseminated within a given environment with no centralized coordination. Such a vision enables a truly pervasive environment where autonomous objects set up a self-organized discovery architecture. This paper presents an extended framework to set-up u-KBs. An advanced semantic matchmaking makes possible resource discovery based on metadata stored in RFID (Radio Frequency IDentification) tags without pre-stored and fixed repositories and a dissemination protocol allows an ondemand retrieval of suitable resource descriptions directly from tags located on the objects
Location-Based Semantic Matchmaking In Ubiquitous Computing
No full textEver increasing efforts are spent in developing techniques and tools for a full exploitation of semantics in mobile environments, able to overcome volatility and resource limitations of mobile contexts. This paper presents a platform-independent mobile semantic discovery framework as well as a working prototypical implementation which enables advanced knowledge-based services taking into account user's location. The proposed approach is clarified and motivated in a ubiquitous tourism case study, where some evaluations are presented to prove its feasibility and usefulness
Querying Compressed Knowledge Bases in Pervasive Computing
No full textIn the so-called Semantic Web of Things (SWoT), annotated information is tied/derived to/from micro-devices, such as RFID tags and wireless sensors, deployed in an environment. Compression techniques are so needed, due to the verbosity of semantic XML-based languages. Beyond compression ratio, query efficiency is a key aspect for knowledge discovery in mobile ad-hoc scenarios where resources are constrained and topology is unpredictable. This paper proposes a querying schema for OWL knowledge bases, serialized in RDF/XML syntax and homomorphically compressed. The final goal is to allow query evaluation without requiring decompression. Algorithms are presented to prove the feasibility of the proposed approach, while practical examples highlight its usefulness
Semantic-based resource discovery and orchestration in Home and Building Automation: a multi-agent approach
No full textHome 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-agent approach, leveraging semantic-based resource discovery and orchestration for HBA applications. Backward-compatible enhancements to EIB/KNX domotic standard allow to support the semantic characterization of user profiles and device functionalities, thus enabling: 1) negotiation of the most suitable home services/functionalities according to implicit and explicit user needs and 2) device-driven interaction for adapting the environment to context evolution. A power-management problem in HBA is presented as a case study to better clarify the proposal and assess its effectiveness
A knowledge-based framework enabling decision support in RFID solutions for healthcare
No full textThe benefits of RFID technology in the healthcare sector are widely acknowledged. Nevertheless, the adoption of RFID as a means for pure item identification prevents adequate support to most knowledge-intensive medical tasks. Here an innovative Decision Support System for healthcare applications is presented, based on a semantic enhancement of RFID standard protocols. Semantically annotated descriptions of both medications and patient's case history are stored in RFID tags and used to help doctors in providing the correct therapy. The proposed system allows to discover possible incompatibilities in a therapy suggesting alternative treatments
Linking the Web of Things: LDP-CoAP Mapping
Full text linkAbstractThe 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 Protocol (CoAP) in order to publish Linked Data on the WoT. A general translation of LDP-HTTP requests and responses is provided, as well as a fully comprehensive framework for HTTP-to-CoAP proxying. The theoretical work is corroborated by an experimental campaign using the W3C Test Suite for LDP
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