The OpenKnowledge System: An Interaction-Centered Approach to Knowledge Sharing

Siebes, Ronny; Dupplaw, David; Kotoulas, Spyros; Pinninck, Adrian Perreau de; Harmelen, Frank van; Robertson, David

doi:10.1007/978-3-540-76848-7_25

Cited by 25 publications

(19 citation statements)

References 13 publications

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“…The OpenKnowledge kernel [27] provides the layer that assorted services and applications can use to interact using a choreography-based architecture. The core concept is the use of shared interaction models by different applications and service providers.…”

Section: The Open Knowledge Frameworkmentioning

confidence: 99%

The benefits of service choreography for data-intensive computing

Barker

Besana

Robertson

et al. 2009

Proceedings of the 7th International Workshop on Challenges of Large Applications in Distributed Environments

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As the number of services and the size of data involved in workflows increases, centralised orchestration techniques are reaching the limits of scalability. In the classic orchestration model, all data pass through a centralised engine, which results in unnecessary data transfer, wasted bandwidth and the engine to become a bottleneck to the execution of a workflow. Choreography techniques, although more complex to model offer a decentralised alternative and are the optimal architecture for data-centric workflows; data are passed directly to where they are required, at the next service in the workflow.While orchestration is the dominant architectural approach, there are relatively few choreography languages and even fewer concrete implementations. This papers contributions are twofold. Firstly we argue the case for choreography in data-intensive computing, and demonstrate through workflow patterns the advantages in terms of scalability when a choreography architecture is adopted. Secondly we introduce the Light Weight Coordination Calculus (LCC), a type of process calculus used to formally define choreographies, and the OpenKnowledge framework, a choreography-based architecture, providing the functionality for peers to coordinate in an open peer-to-peer system. Through LCC and the OpenKnowledge framework we practically demonstrate how choreography can be achieved in a lightweight manner with a comparatively simple process language.

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Section: The Open Knowledge Frameworkmentioning

confidence: 99%

The benefits of service choreography for data-intensive computing

Barker

Besana

Robertson

et al. 2009

Proceedings of the 7th International Workshop on Challenges of Large Applications in Distributed Environments

Self Cite

View full text Add to dashboard Cite

show abstract

“…The OpenKnowledge kernel [28] provides the middleware that assorted services can use to interact using a choreographybased architecture able to deal both with the semantic heterogeneity of the actors and with their discovery. It has been designed with the goals of lightweightness and compactness, allowing a short development cycle for distributed applications.…”

Section: B the Openknowledge Frameworkmentioning

confidence: 99%

Sharing Choreographies in OpenKnowledge: A Novel Approach to Interoperability

Besana¹,

Patkar²,

Barker³

et al. 2009

JSW

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Abstract-As computer systems grow in size and complexity, their integration, while a necessity, becomes more difficult. Service oriented architectures and middleware systems in general deal with the issue by decoupling the components. However, these architectures are still designed and enacted from a centralised perspective: a single process invokes remote services, unaware of being part of a larger, more complex workflow. We claim that the orchestration-based approach does not scale well with increasing complexity and heterogeneity of the components, such as those required in the enactment of medical guidelines and workflows.Medical guidelines encode different aspects of a medical procedures, and they specify different level of abstraction in the procedure. They have to be adapted to the realities of different clinics and hospitals, to advances in knowledge, and to the changing of available resources within an institution. We address the problem of representing and enacting medical guidelines using a fully distributed approach. The framework provided by OpenKnowledge, based on sharing choreographies among actors, allows the representation and enactment of the coordination aspect of guidelines and the discovery of the medical knowledge provided by the distributed actors.

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“…The OpenKnowledge kernel [7] has been designed with the goals of light weightness and compactness. The core concept is the set of shared interaction models, enacted by participants, called peers, that play roles within them.…”

Section: Openknowledge and Lccmentioning

confidence: 99%

An Executable Calculus for Service Choreography

Besana

Barker

2009

On the Move to Meaningful Internet Systems: OTM 2009

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The Lightweight Coordination Calculus (LCC) is a compact choreography language based on process calculus. LCC is a directly executable specification and can therefore be dynamically distributed to a group of peers for enactment at run-time; this offers flexibility and allows peers to coordinate in open systems without prior knowledge of an interaction. This paper contributes to the body of choreography research by proposing two extensions to LCC covering parallel composition and choreography abstraction. These language extensions are evaluated against a subset of the Service Interaction Patterns, a benchmark in the process modelling community.

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The OpenKnowledge System: An Interaction-Centered Approach to Knowledge Sharing

Cited by 25 publications

References 13 publications

The benefits of service choreography for data-intensive computing

The benefits of service choreography for data-intensive computing

Sharing Choreographies in OpenKnowledge: A Novel Approach to Interoperability

An Executable Calculus for Service Choreography

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