Open data and model integration through generic model agent toolkit in CyberWater framework

Generic Model Management: Experiences and Open Questions

A Generic and Extendible Multi-Agent Data Mining Framework

A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that it avoids the use of agreed meta-language formats by supporting a system of wrappers. The advantage offered is that the system is easily extendible, so that further data agents and mining agents can simply be added to...

Model integration in agent-oriented development

Current agent oriented methodologies focus each one on some aspects of multi-agent systems and may leave aside others. For this reason, a developer may find useful to apply different specialized methods and tools for each aspect of the system under development, depending on the problem characteristics. Nevertheless, the integration of different elements into a specification elaborated with an a...

University Business Model Framework

The purpose of this study is to provide a framework for the university business model as a solution for universities to cooperate with businesses. The method of the present study is a qualitative case study and the research method of document analysis, focal groups have been used to collect data. In the documentation section, 60 documents related to academic business models were selected and an...

Clinical Data Integration Model

Primary care data is the single richest source of routinely collected health care data. However its use, both in research and clinical work, often requires data from multiple clinical sites with different health record systems and integration with clinical trial and other types of medical data [1]. Data interoperability is therefore of utmost importance, and is typically implemented using a set...