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Recent
Research Projects
OSAM*.KBMS
Project
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This project deals with the design and implementation of an active
object-oriented knowledge base management called OSAM*.KBMS for use in advanced
applications. |
Parallel
Architectures and Algorithms for Object-Oriented Knowledge Base Management
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This project aims to study the parallel architectures and algorithms for
efficient processing of large object-oriented knowledge bases. |
KBMS-Based Evolutionary
Prototyping of Software Systems
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The objective of this project is to develop a high-level prototyping
language and a computing environment for supporting software system development. |
ORECOM
Project
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The objective of this project is to develop a system to perform
semantics-preserving schema translations in a multimodel, heterogeneous database
envirionment. |
National
Industrial Information Infrastructure Protocols (NIIIP) Project
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The University of Florida's portion of the National Industrial Information
Infrastructure Protocols (NIIIP) Project deals with the development of an object-oriented
knowledge base management technology, mediation technology, extensible object model,
knowledge base programming language, and object query language for supporting
interoperability of heterogeneous systems. |
An
Agent-Based Framework for Ingegrated Intelligent Planning-Execution
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This is a NIST/ATP project which aims to develop
integration tools and object and agent technologies for supporting the integration of
heterogeneous manufacturing application systems. |
Solutions for MES-Adaptable Replicable Technology (SMART)
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This is a NIST/ATP project, which aims to develop solutions to enable
integration and interoperability amongst Manufacturing Execution Systems (MES) as well as
the full range of Enterprise Information Systems (EIS) within a single enterprise or
amongst multiple enterprises. |
Extended
Enterprise Coalition for Integrated Collaborative Manufacturing Systems (EECOMS)
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This is a NIST/ATP project which deals with the development of rule
management, virtual situation room, and security technologies to enable the integration of
manufacturing applications in a multi-company supply chain planning and execution
environment. |
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Research on Advanced
Technologies to Support Internet-based Scalable E-business Enterprises (ISEE)
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This project is supported by the National Science Foundation. It
aims to develop a number of cooperative servers such as automated
negotiation server, business event and rule server, business process
management server, constraint satisfaction processing server and
cost-benefit analysis and evaluation server, etc. to support
collaborative E-business.
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Transnational Digital
Government
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This project aims to develop advanced information technologies for achieving transnational information sharing. The part of the project that Su and his students have been working on is research and development of a distributed query processing system and its integration with an Event-Trigger-Rule Sever to achieve information sharing, event notification, rule processing and process coordination. These two system components have also been integrated with a machine translation system developed at CMU and a conversational interface developed at the University of Colorado. The integrated systems have been demonstrated at the National Conference on Digital Government Research, 2004 and at project meetings in Belize and the Dominican Republic, and a meeting at the Organization of American States.
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Southern Plant Diagnostic Network
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This project is supported by USDA. It aims to research and develop a regional network system at the University of Florida, which connects systems in 12 states and Puerto Rico, for the detection and diagnosis of plant health problems. The key functions of the regional center are to extend and support sound public policies, implement environmentally sound prevention and management strategies, and provide leadership and training.
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Processing Dynamic Event Data and Multi-faceted Knowledge in a Collaborative Federation
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This project is supported by the National Science Foundation. It aims to develop an infrastructure and technologies for the processing and management of 1) distributed events, 2) dynamic data associated with event occurrences, and 3) knowledge expressed by different types of rules and rule structures (multi-faceted knowledge) and application system operations invoked by rules. The R&D results will be applied in the USDA's National Plant Diagnostics Network (NPDN) to enable many collaborating organizations to receive data associated with each occurrence of an event type as well as data generated by different types of rules and rule structures and application operations to support their local decision-making and problem solving and coordinate their activities.
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