Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment's need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e 3 value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.
An International Data Space (IDS) aims to facilitate sovereign data sharing in business ecosystems. The GAIA-X project and the International Data Spaces Association (IDSA) lead initial European efforts to create such information systems. These institutions' high-level business rules and architectural guidelines are essential to attract companies interested in joining the IDS vision. However, companies may interpret these guidelines differently and derive implementations that have interoperability issues. This paper addresses this issue by reconciling data sovereignty and Enterprise Interoperability requirements into a Reference Enterprise Architecture for IDS. It aims to help companies create instantiations or specializations of organizational and software components to meet specific business cases' needs whil e preserving essential IDS principles. Representatives of two Enterprise Integration software companies interested in exploring the IDS vision helped refine the architecture through Technical-Action Research. An expert panel of representatives from the Dutch Logistics sector evaluated the architecture regarding its potential acceptance by small and medium enterprises (SMEs).
With the advent of Semantic Web, the fast dissemination of ontologies to represent and share information causes a deep impact on knowledge retrieval, as a whole. In this context, the use of different ontologies to express meaning on the same application domain leads to a kind of "Tower of Babel Effect" on the Web, bringing new problems to the communication among different applications. This problem still remains in service-oriented architectures, considering that a same service can be described by the use of different ontologies and standards. Therefore, the urge of an ontology reconciliation approach arises in order to enable communication despite the differences. This paper focuses on providing a formal description of ontology reconciliation techniques, such as merging, alignment and integration, to provide better understanding of how these techniques can be used on the scope of Semantic Web Services Architecture.
This chapter presents the game K-Hunters, a serious game with the purposes of decreasing the isolation time and helping the learning process of children with autistic spectrum disorder (ASD). The game uses geolocation, virtual reality, and augmented reality techniques to provide an environment to hunt and capture virtual monsters, holders of knowledge. These monsters are geographically spread throughout the real world and can be associated to learning objects. Through mobile devices, the users can go out hunting the monsters, capture them, and view their learning object-related content. Thus, the users are encouraged to get out of their isolation, to search for the virtual monsters, to obtain knowledge, as well as being inserted in scenarios favorable to interpersonal interaction.
The International Data Spaces Association (IDSA) has promoted the idea of International Data Spaces as a place for companies to share data with trust and security enforced by software and organizational competence. There has been considerable progress in delivering corporate guidelines, technical specifications, and software components available for testing and deploying applications to support IDSbased ecosystems, such as the IDS data connectors classified by the Fraunhofer Institute. However, full implementation of IDS applications seems still complex and expensive for small and medium enterprises (SMEs). A possible strategy to deal with such an issue is to break the IDSA specification's complexity into smaller pieces and build small IDS ecosystems formed by its core business roles (e.g., data owners, users, and broker service providers). In this context, this paper addresses the problem of designing an application to support the broker service provider's role in operating in an IDS-based ecosystem. This research, therefore, follows a Design Science approach in a three-step process. First, it investigates problems of practical relevance elicited from the IDSA guidelines in combination with requirements provided by representatives of the Dutch Logistics sector. Second, it gives design to tackle the problem by combining Semantic Web, Linked Data, and Enterprise Architecture modeling artifacts. Last, it validates the architecture of the broker service provider's application by demonstrating its technical feasibility, innovation, and software integration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.