A multi-resolution agent for service-oriented situations in ubiquitous domains

Uhm, Yoonsik; Lee, Minsoo; Hwang, Zion; Kim, Yong; Park, Sehyun

doi:10.1016/j.eswa.2011.04.150

Cited by 8 publications

(9 citation statements)

References 15 publications

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“…In the scope of expert and intelligent systems, there are several papers related to intelligent decision-making based on context. For instance, the paper from Uhm, Lee, Hwang, Kim, and Park (2011) where they support adaptive service reconstruction based on context and pattern analysis. Collaboration is focused from another perspective in (Papageorgiou, Verginadis, Apostolou, & Mentzas, 2011), where the events detected in the system and matching a particular pattern cause rearrangements in a particular collaboration.…”

Section: Related Workmentioning

confidence: 99%

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Garcia-de-Prado

Ortiz

Boubeta-Puig

2017

Expert Systems with Applications

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Internet of Things (IoT) has radically transformed the world; currently, every device can be connected to the Internet and provide valuable information for decision-making. In spite of the fast evolution of technologies accompanying the grow of IoT, we are still faced with the challenge of providing a service oriented architecture, which facilitates the inclusion of data coming together from several IoT devices, data delivery among a system's agents, real-time data processing and service provision to users. Furthermore, context-aware data processing and architectures still pose a challenge, in spite of being key requirements in order to get stronger IoT architectures. To face this challenge, we propose a COLLaborative ConText Aware Service Oriented Architecture (COLLECT), which facilitates both the integration of IoT heterogeneous domain context data-through the use of a light message broker-and easy data delivery among several agents and collaborative participants in the system-making use of an enterprise service bus-. In addition, this architecture provides real-time data processing thanks to the use of a complex event processing engine as well as services and intelligent decision-making procedures to users according to the needs of the domain in question. As a result, COLLECT has a great impact on context-aware decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in such scope. Since context-awareness is key for a wide range of recommender and intelligent systems, the presented novel solution improves decision making in a large number of fields where such systems require to promptly process a variety of ubiquitous collaborative and context-aware data.

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Section: Related Workmentioning

confidence: 99%

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Garcia-de-Prado

Ortiz

Boubeta-Puig

2017

Expert Systems with Applications

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“…(4) With the help of Web services mechanism, the crossplatform software components are deployed to construct an integrated product sale service management platform so as to meet the front-end object identification. The intelligent system integration technology platform as follows: It is a network composed of identifiable objects with which users can communicate through the intelligent operation interface and users can also perceptively connect with surrounding environment [5]. Weber pointed out that this platform is an intelligent communication service (whether between human being and object or between objects) which should be immediately and safely used anytime and anywhere, and this platform is also an infrastructure that integrates information and communication technology [6].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Agent-Based Predict System With Cloud Computing for Enterprise Service Platform in IoT Environment

Yang¹,

Chen

et al. 2021

IEEE Access

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“…According to Luckham (2012, chap. 5), some of the major areas for sales of CEP are: fraud detection and security (Edge and Falcone Sampaio, 2012), transportation and traffic management (Dunkel et al, 2011), health care (Yuan and Lu, 2009;Yao et al, 2011), energy and manufacturing (Vikhorev et al, 2013), locationbased services (Uhm et al, 2011), financial systems and operations (Edge and Falcone Sampaio, 2012), and operational intelligence in business (Chaudhuri et al, 2011). Among other additional areas, CEP can also be applied to home automation (Romero et al, 2011) and RFID signals (Yao et al, 2011).…”

Section: Complex Event Processingmentioning

confidence: 99%

A model-driven approach for facilitating user-friendly design of complex event patterns

Boubeta-Puig

Ortiz

Medina‐Bulo

2014

Expert Systems with Applications

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Complex Event Processing (CEP) is an emerging technology which allows us to efficiently process and correlate huge amounts of data in order to discover relevant or critical situations of interest (complex events) for a specific domain. This technology requires domain experts to define complex event patterns, where the conditions to be detected are specified by means of event processing languages. However, these experts face the handicap of defining such patterns with editors which are not user-friendly enough. To solve this problem, a model-driven approach for facilitating user-friendly design of complex event patterns is proposed and developed in this paper. Besides, the proposal has been applied to different domains and several event processing languages have been compared. As a result, we can affirm that the presented approach is independent both of the domain where CEP technology has to be applied to and of the concrete event processing language required for defining event patterns.

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A multi-resolution agent for service-oriented situations in ubiquitous domains

Cited by 8 publications

References 15 publications

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

Intelligent Agent-Based Predict System With Cloud Computing for Enterprise Service Platform in IoT Environment

A model-driven approach for facilitating user-friendly design of complex event patterns

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