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Ruchiro Mizoguchi - One of the best experts on this subject based on the ideXlab platform.
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A Representation Language for behavior and function: FBRL
Expert Systems with Applications, 1996Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:Abstract Although a lot of researchers have pointed out the significance of functional Representation, the general relations between function and behavior are not yet fully understood. We consider the knowledge of each component in a system as consisting of two elements. One is a necessary and sufficient concept far simulation of the component which we call the behavior model. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By classification of the primitives necessary for the interpretation of the behavior in various domains, which we call “domain ontology”, we can capture and represent the function by selection and combination of the primitives. This paper proposes FBRL, a new Language for representing behavior and function by combining the primitive we identified. Also we investigate the relation between function and behavior based on the primitives. As the primitives can represent concepts at various levels of abstraction, they will contribute to those tasks which rely on the simulations on the model of the target object, such as diagnosis, design, explanation and so on.
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fbrl a function and behavior Representation Language
International Joint Conference on Artificial Intelligence, 1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
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IJCAI - FBRL: a function and behavior Representation Language
1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
Gian Piero Zarri - One of the best experts on this subject based on the ideXlab platform.
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Functional and semantic roles in a high-level knowledge Representation Language
Artificial Intelligence Review, 2017Co-Authors: Gian Piero ZarriAbstract:We describe in this paper a formalization of the notion of “role” that involves a clear separation between two very different sorts of roles. Semantic roles, like student or customer, are seen as (pre-defined) transitory properties that can be associated with (usually animate) entities. From a formal point of view, they can be represented as standard concepts to be placed into a specific branch of a particular ontology; they formalize the static and classificatory aspects of the notion of role. Functional roles must be used, instead, to model those pervasive and dynamic situations corresponding to events, activities, circumstances etc. that are characterized by spatio-temporal references; see, e.g., “John is now acting as a student”. They denote the specific function with respect to the global meaning of an event/situation/activity... that is performed by the entities involved in this event/situation... and formalize the dynamic and relational aspects of the notion of role. A functional role of the subject/agent/actor/protagonist... type is used to associate “John” with the notion of student or customer (semantic roles) during a specific time interval. Formally, functional roles are expressed as primitive symbols like subject, object, source, beneficiary. Semantic and functional roles interact smoothly when they are used to deal with challenging knowledge Representation problems like the so-called “counting problem”, or when we need to set-up powerful inference rules whose atoms can directly denote complex situations. In this paper, the differentiation between semantic and functional roles will be illustrated from an narrative knowledge Representation Language (NKRL) point of view. NKRL is a high-level conceptual tool used for the computer-usable Representation and management of the inner meaning of syntactically complex and semantically rich multimedia information. But, as we will see, the importance of this distinction goes well beyond its usefulness in a specific NKRL context. In particular, the use of functional roles is of paramount importance for the set-up of those evolved n-ary forms of knowledge Representation that allow us to get rid from the limitations in expressiveness proper to the standard (binary) solutions.
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2014 Special Issue: Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language
Neural Networks, 2014Co-Authors: Gian Piero ZarriAbstract:This paper illustrates some of the knowledge Representation structures and inference procedures proper to a high-level, fully implemented conceptual Language, NKRL (Narrative Knowledge Representation Language). The aim is to show how these tools can be used to deal, in a sentiment analysis/opinion mining context, with some common types of human (and non-human) ''behaviors''. These behaviors correspond, in particular, to the concrete, mutual relationships among human and non-human characters that can be expressed under the form of non-fictional and real-time ''narratives'' (i.e., as logically and temporally structured sequences of ''elementary events'').
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Behaviour Representation and Management Making Use of the Narrative Knowledge Representation Language
Behavior Computing, 2012Co-Authors: Gian Piero ZarriAbstract:This chapter illustrates some of the different knowledge Representation and inference tools used by a high-level, fully implemented conceptual Language, NKRL (Narrative Knowledge Representation Language), to deal with the most common types of human “behaviours”. All possible kinds of multimedia “narratives”, fictional or non-fictional, can be seen in fact as streams of elementary events that concern the behaviours, in the most general meaning of this term, of some specific characters. These try to attain a specific result, experience particular situations, manipulate some (concrete or abstract) materials, send or receive messages, buy, sell, deliver, etc. Being able to deal in a correct (and computer-usable) way with narratives implies then being able to deal correctly with the behaviours of the concerned characters.
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SAAKM@ECAI - Semantic Annotation Using NKRL (Narrative Knowledge Representation Language).
2002Co-Authors: Gian Piero ZarriAbstract:We suggest that it could be possible to come closer to the Semantic Web goals by using ‘semantic annotations’ that enhance the traditional ontology paradigm by supplementing the ontologies of concepts with ‘ontologies of events’. We present then some of the properties of NKRL (Narrative Knowledge Representation Language), a conceptual modeling formalism that makes use of ontologies of events to annotate in great detail those ‘narratives’ that represent a very large percentage of the global Web information.
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The “descriptive” component of a hybrid knowledge Representation Language
Computers & Mathematics with Applications, 1992Co-Authors: Gian Piero ZarriAbstract:We describe one component of a "hybrid" Knowledge Representation Language (KRL) used for tile development of Large Knowledge Bases (LKBs). Tiffs hybrid Language involves two dif- ferent aspects, the "descriptive" and the "definitional." The Representation of the elementary events occurring in the real world (descriptive data = "Snoopy is CharUe Brown's beagle") is organized around "semantic predicates" (with "roles" and "arguments"); this gives rise to units called "pred- icative occurrences." The single predicative occurrences can be combined using logical, causal etc., relationships, giving rise to complex conceptual constructions (*'binding occurrences"). "Abstract" conceptual units ("templates") which describe the expected properties of the "concrete" predicative and binding occurrences are placed in a specialization hierarchy (H.TEMP) characterized by the inlmritance of properties nmd behaviours; the concrete "occurrences" constitute the "leaves" of this hierarchy. On the other hand, the "classes ~ representing the "general categories" of all the basic entities of the application domain which appear in the predicative occurrences are defined in terms of their own specialization hierarchy, tl_CLASS (this is deJiaitional data = "A beagle is a sort of hound / a hound is a dog ... "); the concrete "instances" of the defined classes are the '*leaves" of this second hierarchy. The "delitfitional component" is not discussed in this article. The main difference between this KRL and other recent "hyl~rid" hmguages is that the "descriptive component" is not a first order predicate calcuh,s Imlguage, but a highly structured setnmttic network.
Munehiko Sasajima - One of the best experts on this subject based on the ideXlab platform.
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A Representation Language for behavior and function: FBRL
Expert Systems with Applications, 1996Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:Abstract Although a lot of researchers have pointed out the significance of functional Representation, the general relations between function and behavior are not yet fully understood. We consider the knowledge of each component in a system as consisting of two elements. One is a necessary and sufficient concept far simulation of the component which we call the behavior model. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By classification of the primitives necessary for the interpretation of the behavior in various domains, which we call “domain ontology”, we can capture and represent the function by selection and combination of the primitives. This paper proposes FBRL, a new Language for representing behavior and function by combining the primitive we identified. Also we investigate the relation between function and behavior based on the primitives. As the primitives can represent concepts at various levels of abstraction, they will contribute to those tasks which rely on the simulations on the model of the target object, such as diagnosis, design, explanation and so on.
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fbrl a function and behavior Representation Language
International Joint Conference on Artificial Intelligence, 1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
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IJCAI - FBRL: a function and behavior Representation Language
1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
Yoshinobu Kitamura - One of the best experts on this subject based on the ideXlab platform.
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A Representation Language for behavior and function: FBRL
Expert Systems with Applications, 1996Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:Abstract Although a lot of researchers have pointed out the significance of functional Representation, the general relations between function and behavior are not yet fully understood. We consider the knowledge of each component in a system as consisting of two elements. One is a necessary and sufficient concept far simulation of the component which we call the behavior model. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By classification of the primitives necessary for the interpretation of the behavior in various domains, which we call “domain ontology”, we can capture and represent the function by selection and combination of the primitives. This paper proposes FBRL, a new Language for representing behavior and function by combining the primitive we identified. Also we investigate the relation between function and behavior based on the primitives. As the primitives can represent concepts at various levels of abstraction, they will contribute to those tasks which rely on the simulations on the model of the target object, such as diagnosis, design, explanation and so on.
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fbrl a function and behavior Representation Language
International Joint Conference on Artificial Intelligence, 1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
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IJCAI - FBRL: a function and behavior Representation Language
1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
Mitsuru Ikeda - One of the best experts on this subject based on the ideXlab platform.
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A Representation Language for behavior and function: FBRL
Expert Systems with Applications, 1996Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:Abstract Although a lot of researchers have pointed out the significance of functional Representation, the general relations between function and behavior are not yet fully understood. We consider the knowledge of each component in a system as consisting of two elements. One is a necessary and sufficient concept far simulation of the component which we call the behavior model. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By classification of the primitives necessary for the interpretation of the behavior in various domains, which we call “domain ontology”, we can capture and represent the function by selection and combination of the primitives. This paper proposes FBRL, a new Language for representing behavior and function by combining the primitive we identified. Also we investigate the relation between function and behavior based on the primitives. As the primitives can represent concepts at various levels of abstraction, they will contribute to those tasks which rely on the simulations on the model of the target object, such as diagnosis, design, explanation and so on.
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fbrl a function and behavior Representation Language
International Joint Conference on Artificial Intelligence, 1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.
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IJCAI - FBRL: a function and behavior Representation Language
1995Co-Authors: Munehiko Sasajima, Yoshinobu Kitamura, Mitsuru Ikeda, Ruchiro MizoguchiAbstract:This paper proposes FBRL, a Language for representing function and behavior with the primitives we identified and discusses its application to explanation generation. FBRL explicitly represents model of each component in a system in terms of two elements. One is a necessary and sufficient information for simulation of the component which we call behavior. The other is the interpretation of the behavior under a desirable state which the component is expected to achieve, which we call function. By identifying primitives necessary for the interpretation of the behavior in various domains, we can capture what function is and represent it by selection and combination of them. We also investigate the relation between function and behavior based on the primitives of FBRL. As FBRL can represent concepts at various levels of abstraction, it contributes to explanation generation by providing information for mapping behavior of a component to a term which represents its function.