A metamodel for context-aware component-based mashup applications

Pietschmann, Stefan; Tietz, Vincent; Reimann, Jan; Liebing, Christian; Pohle, Michèl; Meißner, Klaus

doi:10.1145/1967486.1967551

Cited by 11 publications

(13 citation statements)

References 14 publications

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“…Furthermore, the existing model-driven mashup approaches (e.g. [5,6]) focus on specific aspects (like user …”

Section: Problem Descriptionmentioning

confidence: 99%

“…For example, Daniel et al present mashArt [5], a model-driven approach to UI and service composition on the Web, consisting of component model for mashup components as well as an event-and flow-based service composition model. A meta-model for contextaware component-based mashup applications is presented by Pietschmann et al [6]. The model provides means to describe all necessary application aspects on a platformindependent level, such as its components, control and data flow, layout, as well as context-aware behavior.…”

Section: Related Workmentioning

confidence: 99%

“…Different domain-specific languages (DSLs) that are tailored specifically to facilitate the development of Web mashups (see e.g. [1][2][3][4]), model-driven approaches for Web mashups and Web data integration [5,6], and extensions of existing behavioral modeling languages like BPEL [7,8] have been proposed to model Web mashups.…”

Section: Introductionmentioning

confidence: 99%

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UML2 Profile and Model-Driven Approach for Supporting System Integration and Adaptation of Web Data Mashups

Gaubatz

Zdun

2012

Current Trends in Web Engineering

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Abstract. From a system integration perspective, Web data mashups used in larger architectures often need to be integrated with other system components, such as services, business processes, and so on. Often a change in one of these components requires changes in many of the dependent components. Similarly, an analysis of some system properties requires knowledge about other system parts than just the mashup. Such features could be implemented using the modeldriven development (MDD) approach, but existing MDD approaches for mashups concentrate on modeling and execution only. To remedy this problem, we propose a generic approach based on a UML2 profile which can easily be extended to model other system parts or integrated with other existing models. It is the foundation for generating or interpreting mashup code in existing languages as well as other system parts using the MDD approach and performing system adaptation or analysis tasks based on models in a standard modeling language.

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“…Furthermore, the existing model-driven mashup approaches (e.g. [5,6]) focus on specific aspects (like user …”

Section: Problem Descriptionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

UML2 Profile and Model-Driven Approach for Supporting System Integration and Adaptation of Web Data Mashups

Gaubatz

Zdun

2012

Current Trends in Web Engineering

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“…Many researches include context modeling techniques such as key-value [20], ORM [16], Meta-Model [2] and etc, which efficiently manage and utilize various contextual information. The advantage of using OWL is an efficient context modeling that includes data sharing, and relation description and inferencing a high-level context.…”

Section: Related Workmentioning

confidence: 99%

Context-Aware Mashup for Smart Mobile Devices

Chun

Jung

Jeon

et al. 2012

2012 IEEE Asia-Pacific Services Computing Conference

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A mobile mashup should be able to compose the component services in accordance with a user's context. We propose a context-aware mashup method for smart mobile devices. For this purpose, a novel user request model is presented and the conventional service description model is extended. We propose a context ontology which can efficiently manage contextual information in a mobile environment. Furthermore, the proposed method undergoes three computations -functional, I/O connectable and contextual matching. In particular, the contextual matching technique utilizes two types of contextual information that are proposed in this paper, implicit and explicit contexts. In order to evaluate the accuracy of the proposed method, a test registry based on real world Web APIs was built. Experimental results show an overall improvement of 26.7% in precision compared with the case where contextual information was not utilized.

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“…As an alternative, the second iteration of approaches is related to the code-tocode (C2C) [1], [2] and model-to-code (M2C) [3] approaches. The C2C approach, however, is not designed for developers (or mashup composers) without programming skills.…”

Section: Introductionmentioning

confidence: 99%

Mobile Mashup Generator System for Cooperative Applications of Different Mobile Devices

Chaisatien

Prutsachainimmit

Tokuda

2011

Lecture Notes in Computer Science

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Abstract. This paper presents a development and an evaluation of a mobile mashup generator system to compose mobile mashup applications and Tethered Web services on a mobile device (TeWS). With less programming efforts, our system and description language framework enables a rapid development, a reusability of working components and a delivery of new cooperative mobile mashup applications. Working components in the mashup execution are derived from a combination of existent mobile applications, JavaScript automated Web page data extractions, and RESTful Web service consumptions. The state of art generator system is evaluated with novice and expert composer groups, to validate the usability of the system and the expressibility of our Mobile Application Interface Description Language (MAIDL). Complex mashup examples are provided to demonstrate new cooperative applications of generated Web services, which enable platform-independent functionality exchange across devices via tethered HTTP communications.

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A metamodel for context-aware component-based mashup applications

Cited by 11 publications

References 14 publications

UML2 Profile and Model-Driven Approach for Supporting System Integration and Adaptation of Web Data Mashups

UML2 Profile and Model-Driven Approach for Supporting System Integration and Adaptation of Web Data Mashups

Context-Aware Mashup for Smart Mobile Devices

Mobile Mashup Generator System for Cooperative Applications of Different Mobile Devices

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