Semantic Based Collaborative P2P in Ubiquitous Computing

Ruta, Michele; Noia, Tommaso Di; Sciascio, Eugenio Di; Donini, Francesco M.; Piscitelli, G.

doi:10.1109/wi.2005.130

Cited by 13 publications

(14 citation statements)

References 20 publications

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“…Compression techniques [12,10] have been also employed for making more compact semantic metadata. Furthermore two new tags have been introduced: -<tag k="semantic:ouuid_counter" v="DIG description" /> whose key is the OUUID, i.e., an Ontology Universally Unique IDentifier [9] marking the domain ontology the description refers to. The value field contains a semantically annotated DIG description.…”

Section: Map Enhancementmentioning

confidence: 99%

T2.O.M. T.O.M.: Techniques and Technologies for an Ontology-Based Mobility Tool with Open Maps

Ruta

Scioscia

Ieva

et al. 2010

Current Trends in Web Engineering

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Abstract. Nowadays, vehicle navigation systems have a limited effectiveness in satisfying user interests and needs. They basically individuate the user's GPS position on a map and calculate a path toward a given destination. This paper presents an innovative semantic-based navigation system, acting as intelligent agent offering an advanced assistance during a road trip. It integrates a mobile matchmaker, which allows a knowledge-oriented path discovery, in order to fully accomplish requirements of a user during her travel. The framework we propose is based on open standards, and particularly it uses crowd-sourced maps available under the OpenStreetMap project, where Points Of Interest (POI) of the basic cartography are semantically featured in order to enable novel services supporting a traveling user.

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Section: Map Enhancementmentioning

confidence: 99%

T2.O.M. T.O.M.: Techniques and Technologies for an Ontology-Based Mobility Tool with Open Maps

Ruta

Scioscia

Ieva

et al. 2010

Current Trends in Web Engineering

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“…Recall that, as in [27], we postulate the existence of a unique identifier (OUUID) for each ontology, thus allowing an unambiguous identification in the whole Semantic Web. In the following sections we will give a closer look to advertisement, request, and solicit PDUs as well as to the cache content organization of nodes.…”

Section: Data Dissemination Frameworkmentioning

confidence: 99%

Semantic-based resource discovery, composition and substitution in IEEE 802.11 mobile ad hoc networks

et al. 2009

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We present a general framework for resource discovery, composition and substitution in mobile ad-hoc networks, exploiting knowledge representation techniques. Key points of the proposed approach are: (1) reuse of discovery information at network layer in order to build a fully unified semantic-based discovery and routing framework; (2) use of semantic annotations in order to perform the orchestration of elementary resources for building personalized services adopting a concept covering procedure, and to allow the automatic substitution of no more suitable/available components. Using ns-2 simulator, we evaluated performances of the proposed framework with reference to a disaster recovery scenario. In particular, the impact of the number of available services and active clients has been investigated in various mobility conditions and for several service covering threshold levels. Obtained results show that: (1) the proposed framework is highly scalable, given that its overall performance is improved by increasing the number of active clients; (2) the traffic load due to clients is negligible; (3) also for a very small number of available service providers very high hit ratios can be reached; (4) increasing the number of providers can lead to hit ratios very close to 100% at the expense of an increased traffic load. Finally, the effectiveness of cross-layer interaction between routing and resource discovery protocols has been also evaluated and discussed.

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“…In particular, we propose a revision of abduction and contraction algorithms presented in [3] in order to allow an exploitation of them in resource-constrained contexts. Building on previous work that enhanced the discovery possibilities offered by standard code-based matching procedures with semantic-based capabilities [10], here we devise a further evolution of matchmaking algorithms allowing to by-pass the presence of fixed and networked servers. This framework and approach has been applied and tested for profile matchmaking in a mobile p2p environment.…”

Section: Introductionmentioning

confidence: 99%

Abduction and Contraction for Semantic-Based Mobile Dating in P2P Environments

Ruta

Noia

Sciascio

et al. 2008

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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Semantic Based Collaborative P2P in Ubiquitous Computing

Abstract: We propose a collaborative environment for semanticenabled mobile devices (e.g. PDAs, cell phones, laptops)

Cited by 13 publications

References 20 publications

T2.O.M. T.O.M.: Techniques and Technologies for an Ontology-Based Mobility Tool with Open Maps

T2.O.M. T.O.M.: Techniques and Technologies for an Ontology-Based Mobility Tool with Open Maps

Semantic-based resource discovery, composition and substitution in IEEE 802.11 mobile ad hoc networks

Abduction and Contraction for Semantic-Based Mobile Dating in P2P Environments

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