问题描述：
英语翻译
Terminology and Perspective
Two points of terminology will assist in our presentation.First,we use the term inference in a generic sense,to mean any way to get new expressions from old.We are only rarely talking about sound logical inference and when doing so refer to that explicitly.
Second,to give them a single collective name,we refer to the familiar set of basic representation tools like logic,rules,frames,semantic nets,etc.,as knowledge representation technologies.
It will also prove useful to take explicit note of the common practice of building knowledge representations in multiple levels of languages,typically with one of the knowledge representation technologies at the bottom level.Hayes' ontology of liquids [12],for example,is at one level a representation composed of concepts like pieces of space,that have portals,faces,sides,etc.The language at the next more primitive (and as it turns out,bottom) level is first order logic,where,for example,In(s1,s2) is a relation expressing that space s1 is contained in s2.
This view is useful in part because it allows our analysis and discussion to concentrate largely on the KR technologies.As the primitive representational level at the foundation of KR languages,they encounter all of the issues central to knowledge representation of any variety.They are also useful exemplars because they are widely familiar to the field and there is a substantial body of experience with them to draw on.
Terminology and Perspective
Two points of terminology will assist in our presentation.First,we use the term inference in a generic sense,to mean any way to get new expressions from old.We are only rarely talking about sound logical inference and when doing so refer to that explicitly.
Second,to give them a single collective name,we refer to the familiar set of basic representation tools like logic,rules,frames,semantic nets,etc.,as knowledge representation technologies.
It will also prove useful to take explicit note of the common practice of building knowledge representations in multiple levels of languages,typically with one of the knowledge representation technologies at the bottom level.Hayes' ontology of liquids [12],for example,is at one level a representation composed of concepts like pieces of space,that have portals,faces,sides,etc.The language at the next more primitive (and as it turns out,bottom) level is first order logic,where,for example,In(s1,s2) is a relation expressing that space s1 is contained in s2.
This view is useful in part because it allows our analysis and discussion to concentrate largely on the KR technologies.As the primitive representational level at the foundation of KR languages,they encounter all of the issues central to knowledge representation of any variety.They are also useful exemplars because they are widely familiar to the field and there is a substantial body of experience with them to draw on.
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