System for generating knowledge base in which sets of common causal relation knowledge are generated
First Claim
1. A system for generating a knowledge base for use in a knowledge based expert system, said system comprising:
- a knowledge base comprising a first knowledge base containing sets of first causal relation knowledge describing cause-effect relations of events taking place within a target machine, and comprising a second knowledge base containing sets of membership knowledge describing relations between machine members of the target machine, each of said sets describing an event contained in the first knowledge base, comprising data that identifies at least one of the machine members of the target machine contained in the second knowledge base, and said first knowledge base and said second knowledge base comprising mutually retrievable data;
retrieval means for retrieving a number of first machine members contained in the second knowledge base based on the membership knowledge of the second knowledge base, said first machine members corresponding to similar first causal relation knowledge sets within the first knowledge base;
first detection means for detecting whether or not said second knowledge base contains a high-rank member, said high-rank member corresponding to each of the first machine members retrieved by said retrieval means; and
a commonizing means for generating a common causal relation knowledge set in the first knowledge base when it is detected that the second knowledge base contains a high-rank member, said common causal relation knowledge set corresponding to the high-rank member of said second knowledge base and describing a set of events linked by a cause-effect relation.
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Abstract
A knowledge base generating system includes a knowledge base having a first knowledge base containing sets of causal relation knowledge describing cause-effect relations of events taking place within a target machine, and having a second knowledge base containing sets of membership knowledge describing a structure of members of the target machine, each event of the cause-effect relations having data to identify one of the members, so that the first and second knowledge bases have mutually retrievable data, a retrieval part for retrieving a number of first members in the second knowledge base, which members correspond to similar causal relation knowledge sets within the first knowledge base, a detection part for detecting whether or not there is a high-rank member in the second knowledge base, the high-rank member corresponding to each of the first members on the basis of the membership knowledge of the second knowledge base, and a commonizing part for generating a common causal relation knowledge set, corresponding to the high-rank member, in the first knowledge base, when the high-rank member is detected.
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Citations
12 Claims
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1. A system for generating a knowledge base for use in a knowledge based expert system, said system comprising:
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a knowledge base comprising a first knowledge base containing sets of first causal relation knowledge describing cause-effect relations of events taking place within a target machine, and comprising a second knowledge base containing sets of membership knowledge describing relations between machine members of the target machine, each of said sets describing an event contained in the first knowledge base, comprising data that identifies at least one of the machine members of the target machine contained in the second knowledge base, and said first knowledge base and said second knowledge base comprising mutually retrievable data; retrieval means for retrieving a number of first machine members contained in the second knowledge base based on the membership knowledge of the second knowledge base, said first machine members corresponding to similar first causal relation knowledge sets within the first knowledge base; first detection means for detecting whether or not said second knowledge base contains a high-rank member, said high-rank member corresponding to each of the first machine members retrieved by said retrieval means; and a commonizing means for generating a common causal relation knowledge set in the first knowledge base when it is detected that the second knowledge base contains a high-rank member, said common causal relation knowledge set corresponding to the high-rank member of said second knowledge base and describing a set of events linked by a cause-effect relation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer implemented method for generating a knowledge base for use in a knowledge based expert system, said method comprising the steps of:
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providing a knowledge base comprising a first knowledge base containing sets of first causal relation knowledge describing cause-effect relations of events taking place within a target machine, and a second knowledge base containing sets of membership knowledge describing relations between machine members of the target machine, each of said events describing an event contained in the first knowledge base comprising data that identifies at least one of the machine members of the target machine contained in the second knowledge base, and said first knowledge base and said second knowledge base comprising mutually retrievable data; retrieving a number of first machine members contained in the second knowledge base based on the membership knowledge of the second knowledge base, said first machine members corresponding to similar first causal relation knowledge sets within the first knowledge base; detecting whether or not said second knowledge base contains a high-rank member, said high-rank member corresponding to each of the first machine members retrieved by said retriever; and generating a common causal relation knowledge set in the first knowledge base when it is detected that the second knowledge base contains a high-rank member, said common causal relation knowledge set corresponding to the high-rank member of the second knowledge base and describing a set of events linked by a cause-effect relation.
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Specification