On modeling context-aware social collaboration processes

Liptchinsky, Vitaliy; Khazankin, Roman; Schulte, Stefan; Satzger, Benjamin; Truong, Hong Linh; Dustdar, Schahram

doi:10.1016/j.is.2013.05.007

Cited by 14 publications

(8 citation statements)

References 44 publications

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“…In [39], the authors propose a modeling approach and a visual modeling notation for context-aware social collaboration processes. Here, the context includes document and people information.…”

Section: Context Modeling and Reasoningmentioning

confidence: 99%

“…This work shares with ours the idea of modeling and formalizing context through a state-machinelike notation. However, different from our approach, [39] aims at providing a context model for a specific application domain (i.e., context-aware social collaboration business processes) that is merged with the software specification in [39].…”

Section: Context Modeling and Reasoningmentioning

confidence: 99%

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Multidimensional context modeling applied to non-functional analysis of software

et al. 2017

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Context awareness is a first-class attribute of today software systems. Indeed, many applications need to be aware of their context in order to adapt their structure and behavior for offering the best quality of service even in case the software and hardware resources are limited. Modeling the context, its evolution, and its influence on the services provided by (possibly resource constrained) applications are becoming primary activities throughout the whole software life cycle, although it is still difficult to capture the multidimensional nature of context. We propose a framework for modeling and reasoning on the context and its evolution along multiple dimensions. Our approach enables (1) the representation of dependencies among heterogeneous context attributes through a formally defined semantics for attribute composition and (2) the stochastic analysis of context evolution. As a result, context can be part of a model-based software development process, and multidimensional context analysis can be used for different purposes, such as non-functional analysis. We demonstrate how certain types of analysis, not feasible with context-agnostic approaches, are enabled in our framework by explicitly representing the interplay between context evolution and non-functional attributes. Such analyses allow the identification of critical aspects or design errors that may not emerge without jointly taking into account multiple context attributes. The framework is shown at work on a case study in the eHealth domain.

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Section: Context Modeling and Reasoningmentioning

confidence: 99%

Section: Context Modeling and Reasoningmentioning

confidence: 99%

Multidimensional context modeling applied to non-functional analysis of software

et al. 2017

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“…A secure object flow ensures the confidentiality and integrity of important objects that are passed between difference participants in a SOA-based business process. Liptchinsky et al [24] consider a collaboration process as the evolution of a network of collaborative documents along with a social network of collaborators. Yongchareon et al [45] present a framework for modeling inter-organizational business processes and validating the changes to them.…”

Section: Related Workmentioning

confidence: 99%

Collaborative process cartography deduction based on collaborative ontology and model transformation

Bénaben

Pingaud

2016

Information Sciences

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With an increasing background in inter-enterprise collaboration and interoperability, the automatic deduction of collaborative business processes is increasingly being viewed as a crucial research subject. The common solution is believed to involve either semantic ontologies or metamodeling, which can be combined with semantic algorithms or transformation rules. However, from the viewpoint of enterprises, the modeling of collaborative processes should be software integrated and can be changed to workflow. The design of the targeted collaborative process model does not fit the need. This has led to a lack of concepts and transformation rules for the ontology or metamodel. In this paper, a new collaborative process model called collaborative process cartography is designed. Related collaborative ontology and its knowledge-expanding rules have also been updated. Collaborative ontology contains essential concepts for the collaborative situation and includes the rules and algorithms for process deduction. A prototype for the supporting tools is also provided.

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“…In contrast, online collaboration tools are beneficial to overcome the limitations of specific kinds of collaboration activities such as time, distance and communication problems (Samuel, 2015). Some studies reveal that online collaboration processes are influenced by social and communication structures formed by the collaborators (Liptchinsky et al, 2014), and building relationships is fundamental to the success of collaborations (Bergstrom et al, 1995). Socially enabled collaboration empowers and encourages participation, conversation, openness, content creation and socialisation among a community of users (Gaál et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Artifact-Centric Semantic Social-Collaborative Network in an Online Healthcare Context

Hussain¹,

Wang²,

Buckingham³

2019

17th International Conference on E-Society 2019

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The emergence of Web 2.0 technology and associated social networking system, brings many possibilities and features for online collaboration. Several reference models, frameworks, tools and infrastructures have been proposed to support seamless interaction and communication between human entities in an online social environment. A few studies indicated that social networks are not only constructed on social connections of people, but also mediated by shared objects, known as object-centred sociality. However, most of the developed social software system was centred around the concept of maintaining human-centric social relationships only. This may be because of the common issues of exploiting social network approach for online collaboration related to maintaining the social behaviour, interaction and communication between human and artifacts themselves. These resources or artifacts (i.e., physical objects, software entities, documents, etc.) are active elements in a way that they may coordinate, cooperate, and even trigger collaborative work in a social environment, which is difficult understand and implement. Thus, it is essential to concentrate on exploring the artifact-centric social relations in a new generation of social-collaboration network. This paper explores the concept and characteristics of the social software system and emphasise the importance and role of objects and artifact-centric sociality in a social-collaboration network. We also outline the benefits of semantic representation of social-collaborative network structure by extending existing social ontologies such as FOAF, SIOC, and DC that define additional concepts, properties and complex social relationship of humans, social objects and collaboration artifacts. Finally, we demonstrate the effectiveness of our proposed approach by applying it to a large-scale social-collaborative healthcare service called GRaCE-AGE within the United Kingdom.

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On modeling context-aware social collaboration processes

Cited by 14 publications

References 44 publications

Multidimensional context modeling applied to non-functional analysis of software

Multidimensional context modeling applied to non-functional analysis of software

Collaborative process cartography deduction based on collaborative ontology and model transformation

Artifact-Centric Semantic Social-Collaborative Network in an Online Healthcare Context

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