A Novel Approach to Modeling Context-Aware and Social Collaboration Processes

Liptchinsky, Vitaliy; Khazankin, Roman; Truong, Hong-Linh; Dustdar, Schahram

doi:10.1007/978-3-642-31095-9_37

Cited by 12 publications

(11 citation statements)

References 16 publications

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“…The importance of social ties in software engineering is often emphasized in literature [29,17]. Conway's law suggests that "organizations which design systems [...] are constrained to produce designs which are copies of the communication structures of these organizations" [14].…”

Section: Motivationmentioning

confidence: 99%

Expressive languages for selecting groups from graph-structured data

Liptchinsky

Satzger

Zabolotnyi

et al. 2013

Proceedings of the 22nd International Conference on World Wide Web

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Many query languages for graph-structured data are based on regular path expressions, which describe relations among pairs of nodes. We propose an extension that allows to retrieve groups of nodes based on group structural characteristics and relations to other nodes or groups. It allows to express group selection queries in a concise and natural style, and can be integrated into any query language based on regular path queries. We present an efficient algorithm for evaluating group queries in polynomial time from an input data graph. Evaluations using real-world social networks demonstrate the practical feasibility of our approach.

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Section: Motivationmentioning

confidence: 99%

Expressive languages for selecting groups from graph-structured data

Liptchinsky

Satzger

Zabolotnyi

et al. 2013

Proceedings of the 22nd International Conference on World Wide Web

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“…In our previous work [15] we discussed network context effects on collaboration processes, and presented an approach for modeling them.…”

Section: Introductionmentioning

confidence: 99%

Statelets: Coordination of Social Collaboration Processes

Liptchinsky

Khazankin

Truong

et al. 2012

Lecture Notes in Computer Science

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Abstract. Today people work together across time, space, cultural and organizational boundaries. To simplify and automate the work, collaboration employs a broad range of tools, such as project management software, groupware, social networking services, or wikis. For a collaboration to be effective, the actions of collaborators need to be properly coordinated, which requires taking into account social, structural, and semantic relations among actors and processes involved. This information is not usually available from a single source, but is spread across collaboration systems and tools. Providing a unified access to this data allows not only to establish a complete picture of the collaboration environment, but also to automate the coordination decision making by specifying formal rules that reflect social and semantic context effects on the ongoing collaboration processes. In this paper we present Statelets, a coordination framework and language for support and coordination of collaboration processes spanning multiple groupware tools and social networking sites, and demonstrate its suitability in several use cases.

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“…In the context of the approach, modelling behaviours enable one to identify patterns in communication problems and understand the dynamics in discussions in order to discover ways of engaging more efficiently with the public in the social web. Several researchers have proposed the realization of context-aware work flows (Wieland et al 2007) and social collaboration processes (Liptchinsky et al 2012), which are related to the idea of modelling the related actors and artefacts in order to enable adaptiveness and personalization in the communication patterns infrastructure.…”

Section: Data Abstraction Based On Ontologies and Communication Workfmentioning

confidence: 99%