A semantic enhanced service exposure model for a converged service environment

Huang, Cuiting; Lee, Gyu Myoung; Crespi, Noël

doi:10.1109/mcom.2012.6163580

Cited by 13 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A QoS-based incentive mechanism for usercentric networks appears in [25]. User-centric resource allocation, cache distribution, energy-efficiency [26], service exposure model [27], connection sharing, and user sensing for wireless access are other examples. In mobility management, aspects studied include user-device resources, locations, user-profile, context, preferences, user-perspective mobility schemes, identity, and handoff/handover solutions.…”

Section: Communicationsmentioning

confidence: 99%

Tactful Networking: Humans in the Communication Loop

Costa

Viana

Ziviani

et al. 2021

IEEE Trans. Emerg. Top. Comput. Intell.

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Section: Communicationsmentioning

confidence: 99%

Tactful Networking: Humans in the Communication Loop

Costa

Viana

Ziviani

et al. 2021

IEEE Trans. Emerg. Top. Comput. Intell.

View full text Add to dashboard Cite

show abstract

“…aftershocks -workflow plans may vary over time: other regions may become affected and different recommendations may have to be given. Semantics can be used to improve service discovery [24] and to enable more flexible, dynamic, work-flow or plans for services [25]. Services can be represented using semantic descriptors and different tech-niques, such as automated planning [26], can then be applied.…”

Section: Emerging Topics In Computingmentioning

confidence: 99%

A Semantic IoT Early Warning System for Natural Environment Crisis Management

Poslad

Middleton

Cháves

et al. 2015

IEEE Trans. Emerg. Topics Comput.

101

View full text Add to dashboard Cite

An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used for environment disaster risk and effect management. The potential benefits of using a semantic-type EWS include easier sensor and data source plug-and-play, simpler, richer, and more dynamic metadata-driven data analysis and easier service interoperability and orchestration. The challenges faced during practical deployments of semantic EWSs are the need for scalable time-sensitive data exchange and processing (especially involving heterogeneous data sources) and the need for resilience to changing ICT resource constraints in crisis zones. We present a novel IoT EWS system framework that addresses these challenges, based upon a multisemantic representation model. We use lightweight semantics for metadata to enhance rich sensor data acquisition. We use heavyweight semantics for top level W3C Web Ontology Language ontology models describing multileveled knowledge-bases and semantically driven decision support and workflow orchestration. This approach is validated through determining both system related metrics and a case study involving an advanced prototype system of the semantic EWS, integrated with a deployed EWS infrastructure.

show abstract

“…Curwen, P. et al [5] estimates that in the next two decades, there will be more than 20 billion devices providing diverse services and bridging different domains with more connections and interactions based on Radio Frequency Identification (RFID), Wireless Sensor Network (WSN) and other entities. In the traditional service domain, services are typically defined by a set of Hypertext Transfer Protocol (HTTP) request messages along with a definition of response messages and follow such principles as the Simple Object Access Protocol (SOAP), Representational State Transfer (REST) [6] and Extensible Markup Language-Remote Procedure Call (XML-RPC) [7]. The primary objective of SOA is to facilitate service integration between independent entities or organizations by using a set of service publication and discovery facilities.…”

Section: State Of the Artmentioning

confidence: 99%

Semantic Agent-Based Service Middleware and Simulation for Smart Cities

Liu

et al. 2016

Sensors

View full text Add to dashboard Cite

With the development of Machine-to-Machine (M2M) technology, a variety of embedded and mobile devices is integrated to interact via the platform of the Internet of Things, especially in the domain of smart cities. One of the primary challenges is that selecting the appropriate services or service combination for upper layer applications is hard, which is due to the absence of a unified semantical service description pattern, as well as the service selection mechanism. In this paper, we define a semantic service representation model from four key properties: Capability (C), Deployment (D), Resource (R) and IOData (IO). Based on this model, an agent-based middleware is built to support semantic service enablement. In this middleware, we present an efficient semantic service discovery and matching approach for a service combination process, which calculates the semantic similarity between services, and a heuristic algorithm to search the service candidates for a specific service request. Based on this design, we propose a simulation of virtual urban fire fighting, and the experimental results manifest the feasibility and efficiency of our design.

show abstract

A semantic enhanced service exposure model for a converged service environment

Cited by 13 publications

References 7 publications

Tactful Networking: Humans in the Communication Loop

Tactful Networking: Humans in the Communication Loop

A Semantic IoT Early Warning System for Natural Environment Crisis Management

Semantic Agent-Based Service Middleware and Simulation for Smart Cities

Contact Info

Product

Resources

About