Design problem solving: a task analysis
AI Magazine
Solving VT in VITAL: a study in model construction and knowledge reuse
International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
Sisyphus-VT: a CommonKADS solution
International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
Combining KARL and CRLM for designing vertical transportation systems
International Journal of Human-Computer Studies - Special issue: the Sisyphus-VT initiative
Decision quality using ranked attribute weights
Management Science
Construction of problem-solving methods as a parametric design
International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Digital Capital: Harnessing the Power of Business Webs
Digital Capital: Harnessing the Power of Business Webs
A Two Layer Case-Based Reasoning Architecture for Medical Image Understanding
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Value Webs: Using Ontologies to Bundle Real-World Services
IEEE Intelligent Systems
Service systems, service scientists, SSME, and innovation
Communications of the ACM - Services science
Enabling Semantic Web Services: The Web Service Modeling Ontology
Enabling Semantic Web Services: The Web Service Modeling Ontology
Reasoning about Substitute Choices and Preference Ordering in e-Services
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Stakeholder Perception of Enterprise Architecture
ECSA '08 Proceedings of the 2nd European conference on Software Architecture
The resource-service-system model for service science
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Fuzzy verification of service value networks
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
| Hi-index | 0.00 |
Businesses increasingly offer their services electronically via the Web. Take for example an Internet Service Provider. An ISP offers a variety of services, including raw bandwidth, IP connectivity, and Domain Name resolution. Although in some cases a single service already satisfies a customer need, in many situations a customer need is so complex that a bundle of services is needed to satisfy the need, as with the ISP example. In principle, each service in a bundle can be provisioned by a different supplier. This paper proposes an ontology, e3service, that can be used to formally capture customer needs, services, and multi-supplier service bundles of these. In addition, this paper contributes a process called PCM2 to reason with the ontology. First, a customer need is identified for which desired consequences are elicited. Then, the desired set of consequences is matched with consequences associated with services. The matching process results in a service bundle, satisfying the customer need, containing services that each can be provided by different suppliers. PCM2 is inspired by a family of formal reasoning methods called Propose--Critique--Modify PCM. However, whereas PCM methods emphasize solution generation from a given set of requirements, our reasoning process treats the space of requirements as a first class citizen. Hence PCM2: the requirements space and solution space are equally important. How the reasoning and matching process practically works, is illustrated by an industry strength case study in the healthcare domain.