Introduction to Multiagent Systems
Introduction to Multiagent Systems
Toward Intelligent Meeting Agents
Computer
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
CMMI Guidlines for Process Integration and Product Improvement
CMMI Guidlines for Process Integration and Product Improvement
Dynamic Invocation of Semantic Web Services That Use Unfamiliar Ontologies
IEEE Intelligent Systems
Agent-Based Control for Networked Traffic Management Systems
IEEE Intelligent Systems
Searching the Semantic Web: Approximate Query Processing Based on Ontologies
IEEE Intelligent Systems
MASACAD: A Multiagent-Based Approach to Information Customization
IEEE Intelligent Systems
Selection priority of process areas based on CMMI continuous representation
Information and Management
An ontology-based knowledge management system for flow and water quality modeling
Advances in Engineering Software
OntoCAPE-A large-scale ontology for chemical process engineering
Engineering Applications of Artificial Intelligence
Automated ontology construction for unstructured text documents
Data & Knowledge Engineering
An exploratory study of why organizations do not adopt CMMI
Journal of Systems and Software
Software Engineering
Software testing and preventive quality assurance for metrology
Computer Standards & Interfaces
A multilayer perceptron-based medical decision support system for heart disease diagnosis
Expert Systems with Applications: An International Journal
An integrated and intelligent DSS for manufacturing systems
Expert Systems with Applications: An International Journal
A genetic fuzzy agent using ontology model for meeting scheduling system
Information Sciences: an International Journal
Software agents and market (in) efficiency: a human trader experiment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A fuzzy ontology and its application to news summarization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ontology-Driven Approximate Duplicate Elimination of Postal Addresses
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Ontological recommendation multi-agent for Tainan City travel
Expert Systems with Applications: An International Journal
Intelligent agents for the game of go
IEEE Computational Intelligence Magazine
Multi-agent system in urban traffic signal control
IEEE Computational Intelligence Magazine
Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems
Applied Soft Computing
An intelligent system for gathering rates of local taxes on the web
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Using emotional classification model for travel information system
International Journal of Computational Science and Engineering
Research on domain ontology in different granulations based on concept lattice
Knowledge-Based Systems
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This study presents an ontology-based computational intelligent multi-agent system for Capability Maturity Model Integration (CMMI) assessment. An ontology model is developed to represent the CMMI domain knowledge that will be adopted by the computational intelligent multi-agent. The CMMI ontology is predefined by domain experts, and created by the ontology generating system. The computational intelligent multi-agent comprises a natural language processing agent, an ontological reasoning agent and a summary agent. The multi-agent deals with the evaluation reports from the natural language processing agent, infers the term relation strength between the ontology and the evaluation report, and then summarizes the main sentences of the evaluation report. The summary reports are meanwhile transmitted back to the domain expert, which makes the domain expert further adjust the CMMI ontology. Experimental results indicate that the ontology-based computational intelligent multi-agent can effectively summarize the evaluation reports for the CMMI assessment.