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Earth and environmental scientists collect and use a wide range of observational data. This data often exhibits high structural and semantic heterogeneity due to the variety of data collected and the ways in which observational datasets are structured in practice. However, to address questions at broad temporal, geographic, and biological scales, researchers often need to access and combine data from...
While several role-related concepts play an important role in business modeling, their definitions, relations, and use differ greatly between languages, papers, and reports. Due to this, the knowledge captured by models is not transferred correctly, and models are incomparable. In this paper, we provide a meta-model and definitions for several role-related concepts based on the practice of existing...
Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desired services, context-aware systems provide a promising way to automatically search and recommend services using a user's context. However, existing context-aware techniques have limited support for dynamic adaption to newly...
This paper describes our approach for supporting the idea development process by integrating the ontological vision and services-oriented approaches. We start by analyzing the existing models for the creative process and by identifying new challenges of the creative society, while focusing on different kinds of knowledge charactering the creativity process. Second, we argue the importance of the value...
Semantic Web, Social Web, and new economic challenges are causing major shifts in the pervasive fabric that the internet has become, in particular for the business world. The internet's new role as participatory medium and its ubiquity lead to dense tri-sortal communities of humans and businesses mixed with computer systems, and semantically interoperating in a well-defined sense. Many of the challenges...
Structural ontology matching methods analyze mainly two factors: entity labels and relationships among entities. We propose to additionally consider an importance and relevance factor, which is determined by two indicators automatically calculated by a (simple) weighting method. This weighting factor represents the importance of a concept based on its information significance in the modeling context...
This article describes our approach towards the specification and realization of interoperability within Next Generation Ambient Intelligent Environments (NGAIE). These are populated with numerous devices and multiple occupants or users exhibit increasingly intelligent behaviour, provide optimized resource usage and support consistent functionality and human-centric operation. In NGAIEs users will...
The evolution of the economic environment towards services orientation has introduced new challenges for companies. They attempt to design innovative services to support the value creation of their customer's business. In this context the knowledge is becoming a key matter for strategy and innovation. Many scholars have stressed the knowledge management approaches for the design of products. However...
Information technologies (IT) have become strategic and essential for business development. In this context, IT management has evolved to business driven IT management solutions. Following this evolution, configuration management process plays a key role by providing accurate IT information to other agents such as business, people, processes, tools and technologies. In this sense, agent's interoperability...
This paper presents an agent-based approach for realizing a new generation of intelligent environments referred to as adaptive ambient ecologies. These are highly distributed systems, which require new ways of communication and collaboration in order to support the realization of people's tasks. We use three types of agents for the main functions of planning, adaptation and interaction. The knowledge...
Task-based abstraction can express user tasks via underlying services with minimal effort. However, developers must first address several issues including task execution transparency, exception handling, ontologies, and abstract architecture design.
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