The context aware workflow execution framework

Ardissono, Liliana; Furnari, Roberto; Goy, Anna; Petrone, G.; Segnan, Marino

doi:10.1504/ijaacs.2012.044784

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…Heiko Maus (2001) of German Research Centre for Artificial Intelligence considers WfMS as valuable information sources for context information, and he also gives different approaches for retrieving workflow context and enabling an intelligent information support; Chen et al (2006) introduce a workflow embedded middleware called “FollowMe” to support a uniform and pluggable programming model; Liu et al (2007) propose a business artifact-centered operational model, which incorporates the business context and behavior information into business artifacts, to make the system more data centric; and Ardissono et al (2012) propose a context-aware workflow execution (CAWE) framework to make service-oriented architecture (SOA) more adaptive and flexible.…”

Section: Related Workmentioning

confidence: 99%

Intelligent knowledge recommending approach for new product development based on workflow context matching

Liu

Wang

2016

Concurrent Engineering

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The variety of product types/specifications in discrete manufacturing enterprises makes new product development tasks real tough work. Therefore, it is a common strategy for workers to refer to similar outcomes (e.g. the product drawings and work instructions) of former new product development tasks. In order to discover similar historic outcome, this article presents an intelligent approach to measure the cohesion between workflow contexts in process-aware information systems and exploit it for runtime task knowledge recommendation. The measure of context similarity is preceded by (1) modeling the task context with ontology theory and (2) using the ontology matching algorithms to evaluate the similarities between context ontology entities of different tasks. Specifically, the term frequency–inverse document frequency approach is utilized to compute the context cohesion between current task and historic ones, and the tasks with the highest similarity will be recommended to the task executors, along with their outcomes. Comparative evaluation is performed using term frequency–inverse document frequency, Levenshtein, and Affine Gaps, and results demonstrate that the proposed approach achieves good precision and recall and is efficient in task knowledge recommendation.

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Section: Related Workmentioning

confidence: 99%

Intelligent knowledge recommending approach for new product development based on workflow context matching

Liu

Wang

2016

Concurrent Engineering

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“…In general, context-aware workflow modeling approaches extend modeling and execution languages like BPMN and BPEL by the means to define context and make use of this knowledge in workflow execution. Very often, this is motivated by some specific domain, e.g., manufacturing [31] , [32] or e-health processes [33] . In the following, we will only discuss different approaches in the field which are important to the work at hand; for a thorough discussion we refer to the surveys by Baldauf et al [34] and Truong and Dustdar [35] .…”

Section: Related Workmentioning

confidence: 99%

“…An XML-based language is used to express context dependencies. Ardissono et al present the Context Aware Workflow Execution Environment (CAWE), which is a complete Service-oriented Architecture extended by capabilities to achieve context awareness [33] . With regard to the work at hand, the context-based adaptation policies are the most interesting aspects of CAWE, as they allow to alter the flow of a workflow execution.…”

Section: Related Workmentioning

confidence: 99%

On modeling context-aware social collaboration processes

Liptchinsky

Khazankin

Schulte

et al. 2014

Information Systems

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Modeling collaboration processes is a challenging task. Existing modeling approaches are not capable of expressing the unpredictable, non-routine nature of human collaboration, which is influenced by the social context of involved collaborators. We propose a modeling approach which considers collaboration processes as the evolution of a network of collaborative documents along with a social network of collaborators. Our modeling approach, accompanied by a graphical notation and formalization, allows to capture the influence of complex social structures formed by collaborators, and therefore facilitates such activities as the discovery of socially coherent teams, social hubs, or unbiased experts. We demonstrate the applicability and expressiveness of our approach and notation, and discuss their strengths and weaknesses.

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“…YAWL supports the dynamic selection of worklets [1] at runtime based on a set of rules that are written by the workflow designer. Context Aware Workflow Execution (CAWE) [2] is an adaptive workflow system that supports adaptation based on the individual user, the contextual properties and the device they are using. Finally, C-BPEL [13] supports the adaptive selection of services to instantiate the activities in a workflow at runtime.…”

Section: Related Workmentioning

confidence: 99%

Personalized activity based eLearning

O'Keeffe

Staikopoulos

Rafter

et al. 2012

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies

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The aim of personalizing web information systems is to tailor content (media) to the user's personal preferences, goals and context, in turn increasing the reusability of that content. However, most developers are increasingly seeking to apply 'Web as a Platform' based approaches where webbased content is integrated with web services to provide the platform and environment features that were traditionally offered by desktop environments and applications. Therefore, next generation personalized web information systems need to be capable of dynamically personalizing, adapting and integrating web content and web services to create customized experiences for individual users. The goal of the research presented in this paper is to provide innovative techniques and technologies to achieve this. As part of this research, a novel architecture for the generation of Personalized Learning Activities, which highlights both the need for, and the power of combining and personalizing content and services has been developed. The system has been evaluated in the context of a Higher Education use case based on the user's perception of three key elements of the Personalized Learning Activity: the personalization, the usability and the educational benefits.

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The context aware workflow execution framework

Cited by 8 publications

References 18 publications

Intelligent knowledge recommending approach for new product development based on workflow context matching

Intelligent knowledge recommending approach for new product development based on workflow context matching

On modeling context-aware social collaboration processes

Personalized activity based eLearning

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