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 in different .
The Service Science Knowledge Environment (SSKE) targets also at creating a solid knowledge-based link between , and , along with other . It supports sharing relevant information on 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 in the . It will be further used for managing service and service system related knowledge. It intends to exploit the best opportunities for 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 .
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 (both on as well on aspects). It is implemented as a tree of interrelated ontology - based classified concepts and it presents a holistic view on knowledge dedicated to the domain.
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.
Ontology - based queries formulation (user context)
The collaborative interaction model on the SSKE’s portal aims at demonstrating how 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 between and 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.