Welcome to the integratedmodelling.org site, the access portal for open source software, ontologies, and services aimed to support semantically integrated, distributed modelling of natural and artificial systems. The technologies hosted here are being applied in cutting-edge projects in ecoinformatics, sustainable agriculture, and ecological economics.

integratedmodelling.org functions as a multi-institutional open source and knowledge development laboratory. Our modular toolkits allow developers to assemble semantically-explicit web and stand-alone applications that support semantic access to data and databases, reasoning over existing data sources, semantic simulation modelling, distributed collaborations and more. Our projects include some of the most advanced applications of artificial intelligence to supporting environmental and agricultural decision-making.

The site is a joint endeavor of the Ecoinformatics Collaboratory at the Gund Institute for Ecological Economics, University of Vermont and the Istituto dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA) in Lugano Switzerland. Many other individuals also collaborate with our projects. Please consider joining us.

Software highlights

ThinkLab is the core middleware architecture for most projects at integratedmodelling.org. By employing ontology classes to connect data sources to API objects and literals, it realizes an effective integration of an object-oriented framework, an intelligent database system, and an ontology-based knowledge management environment. Thinklab enables formal reasoning on the contents of databases, algorithms, and user sessions, supporting data and model integration, dynamic modelling, distributed intelligent database and collaborative knowledge development.

ThinkLab can be extended through plug-in packages, providing predefined knowledge and implementations of objects relevant to specific application domains. Plug-ins can also provide user interfaces, support specific database front-ends, or extend operations and functionalities. Many plugins are available that enable novel ways of handling, integrating and processing knowledge of different kinds. Some of these plugins include ontologies that are the result of deep investigations of broad scientific fields.

 

Introduction Documentation Plug-in packages Report a bug

Project highlights

ARIES is a next generation web application meant to make environmental decisions easier and more effective. ARIES helps you discover, understand, and quantify environmental assets and what factors influence their value, in a geographical area of your choice and according to your needs.

Created by a partnership of international experts, NGOs, and academics, ARIES pairs user and expert knowledge with advanced artificial intelligence to construct a model of your case study, making sure that not even a bit of relevant data or knowledge is overlooked. The result of an ARIES user session is an environmental asset portfolio that describes in depth the spatial distribution of the natural assets in your area, their potential and realized economic values, and the causal relationships that link the values to each other and to actual or potential policies. All the decisions taken during an ARIES session are yours, and the portfolio includes documentation and references to justify each and every operation, dataset, or model used to create it.

ARIES development started on April 1, 2007 thanks to a generous grant to the UVM Ecoinformatics Collaboratory from the National Science Foundation. The official ARIES web site is the place to go to keep updated on its development and to access other, related tools and services.