Ramesh S. Patil

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Knowledge Interchange Format (KIF) is a computer-oriented language for the interchange of knowledge among disparate programs. It has declarative semantics (i.e. the meaning of expressions in the representation can be understood without appeal to an interpreter for manipulating those expressions); it is logically comprehensive (i.e. it provides for the(More)
R u le-b a s e d L o g ic-b a s e d F ra m e-b a s e d H y b ri d A n a lo g ic-b a s e d M e ta lo g ic-b a s e d M a n u fa c tu ri n g E le c tr o m e c h a n ic a l F in a n c ia l F lu id ic s C o n s tr u c ti o n S c h e d u le r C la s s if ie r P la n n e r D ia g n o s e r E v a lu a to r 2 M b y te s 3 M b y te s 6 M b y te s 2 M b y te s 1 0 M b(More)
Large scale knowledge bases systems are difficult and expensive to construct. If we could share knowledge across systems, costs would be reduced. However, because knowledge bases are typically constructed from scratch, each with their own idiosyncratic structure, sharing is difficult. Recent research has focused on the use of ontologies to promote sharing.(More)
Levesque and Brachman argue that in order to provide timely and correct responses in the most critical applications, general purpose knowledge representation systems should restrict their languages by omitting constructs which require non-polynomial worst-case response times for sound and complete classiication. They also separate terminological and(More)
Sentences are far more ambiguous than one might have thought. There may be hundreds, perhaps thousands, of syntactic parse trees for certain very natural sentences of English. This fact has been a major problem confronting natural language processing, especially when a large percentage of the syntactic parse trees are enumerated during semantic/pragmatic(More)
First generation AI in Medicine programs have clearly demonstrated the usefulness of Al techniques However, il has also been recognized that the use. of notions such as causal relationships, temporal patterns, and aggregate disease categories in these programs has been too weak From our study of clinician's behavior we realized that a diagnostic or(More)
Building knowledge-based systems today usually entails constructing a new knowledge base from scratch. Even if several groups of researchers are working in the same general area, such as medicine or electronic diagnosis, each team must develop its own knowledge base from scratch. The cost of this duplication of effort has been high and will become(More)
Levesque and Brachman argue that in order to provide timely and correct responses in the most critical applications, general purpose knowledge representation systems should restrict their languages by omitting constructs which require non-polynomial worst-case response times for sound and complete classification. They also separate terminological and(More)