Service Science Knowledge Environment - SSKE
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The main goal the Service Science Knowledge Environment (SSKE) is to implement a collaborative environment that would gather together different academic partners with the overall aim of creating a modern educational framework in the areas of Science, Design and Management of services, while promoting service innovation in different service sectors.

The Service Science Knowledge Environment (SSKE) targets also at creating a solid knowledge-based link between academia, industry and government, along with other European institutions. It supports sharing relevant information on Service Science that would are stored in a structured way based on a common vocabulary using an integrated ontology.

The Service Science Knowledge Environment (SSKE) is delivered as a service in the cloud. It will be further used for managing service and service system related knowledge. It intends to exploit the best opportunities for business service innovation using IBM cloud technology, which is used as a mean for information service innovation through virtualization and improvement of service front ends for academia, industry, as well as other stakeholders.

It aims at fostering service innovation, sustaining this endeavor through the transfer of the research results in terms of information, Proof of Concepts and Proof of Technology, methodologies, aiming to develop sustainable service systems innovation solutions.

The Service Science Knowledge Environment (SSKE) uses a shared conceptual knowledge model able to capture connections between different pieces of information in the multidisciplinary domain of Service Science (both on fundamental concepts as well on technology aspects). It is implemented as a tree of interrelated ontology - based classified concepts and it presents a holistic view on knowledge dedicated to the Service Science domain.

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Service Science Knowledge Environment Implementation Steps

According to this approach, information related to the multidisciplinary sub-domains that can be gathered under the umbrella of the broader term "Service Science" is classified as specific knowledge resources, whose main categories refer to:

At the same time it defines a collaborative interaction model on the portal based on stakeholders’ needs and it supports access to related knowledge resources in the cloud through specific ontology-based query formulation.

While supporting education in Service Science Management and Engineering (SSME), the platform is mainly dedicated to research. It supports service innovation (both through education and research), intending to give coherence, structure to the related Service Science multidisciplinary information (service related knowledge resources), and to allow multi-criteria search taking into consideration user-value context.

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Ontology - based queries formulation (user context)

The collaborative interaction model on the SSKE’s portal aims at demonstrating how value co-creation can benefit from semantic-driven social software. The SSKE platform brings together service related knowledge resources available in universities, industry, governmental agencies all over the world. The way to co-create value between knowledge consumers and knowledge creators is defined though use cases and specific queries development while using a MediaWiki front user interface enriched with semantic-driven data processing and ontology as content access method.

Exploitation perspectives of the SS-KE expressed through the knowledge model accounts for:

a) supporting the growth of the service business companies visibility, able to access the service innovation data base in different service sectors,

b) highlighting an educational knowledge path on Service Science fostering service innovation, and

c) reporting on new methods, tools, and software applications to develop IT services and to accomplish service automation in the perspective of service system innovation.

This page was last modified on 27 August 2013, at 11:56.This page has been accessed 34,613 times.