RFID meets bluetooth in a semantic based u-commerce environment

Ruta, Michele; Noia, Tommaso Di; Sciascio, Eugenio Di; Piscitelli, G.; Scioscia, Floriano

doi:10.1145/1282100.1282124

Cited by 9 publications

(11 citation statements)

References 25 publications

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“…Few proposals for semantic-based annotation of physical commercial products can be found in the literature, beyond our previously mentioned work [10]. A solution applied to ucommerce environments was introduced in [17].…”

Section: Context and Application Scenariomentioning

confidence: 99%

“…Tagged products represent KB individuals in our system. In a previous work [10] the EPCglobal standard was enhanced to support storage and retrieval on RFID tags of an ontology identifier, a set of attributes and a compressed semantic-based annotation, in addition to the EPC identifier. These basic elements recur in our definition of an individual in a u-KB, as explained above.…”

Section: Case Study: Rfid-based U-kbmentioning

confidence: 99%

“…Each article is tagged with a semantic-enhanced EPCglobal RFID transponder, storing: the EPC; the OUUID of the reference ontology for the apparel domain; data attributes such as price and size; a semantically annotated product description. For instance, a description such as "Italian striped black and white cotton shirt with red buttons, suitable for male young adults" could be fully expressed in an annotation referring to classes and properties defined in the apparel ontology (see [10] for details).…”

Section: Case Study: Rfid-based U-kbmentioning

confidence: 99%

“…After collecting the resources that satisfy the parameters of his demand, the user can start a semantic matchmaking process in order to find the best ones w.r.t. desired product characteristics [10]. Semantic user request is expressed according to the ontology similarly to product descriptions.…”

Section: Parametermentioning

confidence: 99%

“…As a consequence, pervasive knowledge-based systems have to achieve high degrees of autonomic capability from the knowledge management point of view, providing transparent access to knowledge sources that may be present in a given area. In [10], we devised solutions for the integration of semantic-enhanced EPCglobal RFID into Mobile Ad-hoc NETworks (MANETs). Semantic annotations were put into RFIDs attached to objects so that tagged goods stored a semantically rich description of the product the tag is clung to.…”

Section: Introductionmentioning

confidence: 99%

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Ubiquitous knowledge-based framework for RFID semantic discovery in smart u-Commerce environments

Ruta

Scioscia

Noia

et al. 2009

Proceedings of the 11th International Conference on Electronic Commerce

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A ubiquitous Knowledge Base (u-KB) is a distributed and decentralized knowledge base where the factual knowledge (i.e. individuals) is scattered among objects disseminated within the environment with no centralized coordination. This paper presents an extended framework to enable u-KBs in mobile scenarios where a semantic discovery is carried out using metadata stored in RFIDs without fixed repositories. A dissemination protocol allows an on-demand retrieval of suitable descriptions directly from tags located on the objects. Such a vision allows to build a truly pervasive environment where autonomous objects compose a self-organized evolving discovery architecture suitable for uCommerce purposes. Categories and Subject Descriptors General TermsAlgorithms, Management, Languages. INTRODUCTIONPervasive computing aims at a model of human-computer interaction where information as well as computational capabilities are deeply embedded into the environment, that is into everyday objects and/or actions. The goal of pervasive computing is to reduce the amount of user effort and attention required in order to benefit from computing systems. As opposed to classical paradigms, where a user explicitly engages a single device to perform a specific task, in pervasive computing the user will interact with many computational devices simultaneously, extracting data from the objects "integrated" into the environment during ordinary activities, even not necessarily being aware of what is happening. "Pervasiveness" refers to manifold aspects involving information storage, processing and discovery. This is achieved by exploiting a relatively large number of heterogeneous micro devices -e.g RFID (Radio Frequency IDentification) tags or wireless sensors-each conveying a small amount of useful information. Due to space, power and cost constraints, such devices are still currently endowed with low storage, little or no processing capability and short-range, low-throughput wireless links, though increasing efforts are being spent to increase such capabilities. Each mobile host in the area can access information only on micro devices in its communication range. Consequently, approaches based on centralized control and information storage are utterly impractical in such scenarios. Pervasive computing calls for a decentralized and collaborative coordination between autonomous mobile hosts. As a consequence, pervasive knowledge-based systems have to achieve high degrees of autonomic capability from the knowledge management point of view, providing transparent access to knowledge sources that may be present in a given area. In [10], we devised solutions for the integration of semantic-enhanced EPCglobal RFID into Mobile Ad-hoc NETworks (MANETs). Semantic annotations were put into RFIDs attached to objects so that tagged goods stored a semantically rich description of the product the tag is clung to. This enabled objects equipped with RFID tags to describe themselves toward the "rest of the world" in a self-contained fashion. Neverthe...

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Section: Context and Application Scenariomentioning

confidence: 99%

Section: Case Study: Rfid-based U-kbmentioning

confidence: 99%

Section: Case Study: Rfid-based U-kbmentioning

confidence: 99%

Section: Parametermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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