ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Ontology mapping: the state of the art
The Knowledge Engineering Review
Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL
Knowledge-Based Systems
Computer-based Medical Guidelines and Protocols: A Primer and Current Trends
Computer-based Medical Guidelines and Protocols: A Primer and Current Trends
Intelligent human interface based on mental cloning-based software
Knowledge-Based Systems
Facial Expression Invariants for Estimating Mental States of Person
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
A Study of How to Implement a Listener Estimate Emotion in Speech
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
Cheating Prevention in Virtual Worlds: Software, Economic, and Law Aspects
Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10
Virtual Doctor System (VDS): Framework on Reasoning issues
Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10
Semantical case based reasoning related to virtual doctor system (VDS)
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
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Human computer Interaction based on emotional modelling and physical views, collectively; has been investigated and reported in this paper. Two types of ontology have been presented to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical collected exhibited consequences of such disorder. These two types of ontology have been mapped and aligned using OWL-S and SWRL for reasoning purposes. We have constructed an integrated computerized model which reflects a human diagnostician as computer model and through it, an integrated interaction between that model and the real human user (patient) is utilized for 1st stage diagnosis purposes. The diagnostician knowledge has been utilized through UMLS for testing, and the integrated mapping of the two views been represented through OWLS framework. The reasoning instantiation is done using SWRL and RACER integrated on Protégé 4.