Guendalina Righetti, Daniele Porello, N. Troquard, O. Kutz, Maria M. Hedblom, P. Galliani
When people combine concepts these are often characterised as “hybrid”, “impossible”, or “humorous”. However, when simply considering them in terms of extensional logic, the novel concepts understood as a conjunctive concept will often lack meaning having an empty extension (consider “a tooth that is a chair”, “a pet flower”, etc.). Still, people use different strategies to produce new non-empty concepts: additive or integrative combination of features, alignment of features, instantiation, etc. All these strategies involve the ability to deal with conflicting attributes and the creation of new (combinations of) properties. We here consider in particular the case where a Head concept has superior ‘asymmetric’ control over steering the resulting concept combination (or hybridisation) with a Modifier concept. Specifically, we propose a dialogical approach to concept combination and discuss an implementation based on axiom weakening, which models the cognitive and logical mechanics of this asymmetric form of hybridisation.
{"title":"Asymmetric Hybrids: Dialogues for Computational Concept Combination","authors":"Guendalina Righetti, Daniele Porello, N. Troquard, O. Kutz, Maria M. Hedblom, P. Galliani","doi":"10.3233/faia210373","DOIUrl":"https://doi.org/10.3233/faia210373","url":null,"abstract":"When people combine concepts these are often characterised as “hybrid”, “impossible”, or “humorous”. However, when simply considering them in terms of extensional logic, the novel concepts understood as a conjunctive concept will often lack meaning having an empty extension (consider “a tooth that is a chair”, “a pet flower”, etc.). Still, people use different strategies to produce new non-empty concepts: additive or integrative combination of features, alignment of features, instantiation, etc. All these strategies involve the ability to deal with conflicting attributes and the creation of new (combinations of) properties. We here consider in particular the case where a Head concept has superior ‘asymmetric’ control over steering the resulting concept combination (or hybridisation) with a Modifier concept. Specifically, we propose a dialogical approach to concept combination and discuss an implementation based on axiom weakening, which models the cognitive and logical mechanics of this asymmetric form of hybridisation.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"34 1","pages":"81-96"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73273194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In philosophy information is mainly discussed along with the notion of aboutness. In more practical communities, information is mainly addressed together with notions like data and knowledge. This paper proposes a different approach. We look at information (and related concepts) as roles played by representations. This view implies that the notion of representation is central for any ontological analysis of information and related concepts. The paper provides arguments for this new stand and discusses an ontological model of representation based on the systematic distinction between form and content. The broadness and flexibility of the proposed model is shown by discussing a list of variegated representation entities from music to procedure, from novel to painting. The paper also investigates the role of letters (characters) in natural language expressions, which turns out to be quite complex.
{"title":"Towards an Ontology of Representation","authors":"R. Mizoguchi, S. Borgo","doi":"10.3233/faia210370","DOIUrl":"https://doi.org/10.3233/faia210370","url":null,"abstract":"In philosophy information is mainly discussed along with the notion of aboutness. In more practical communities, information is mainly addressed together with notions like data and knowledge. This paper proposes a different approach. We look at information (and related concepts) as roles played by representations. This view implies that the notion of representation is central for any ontological analysis of information and related concepts. The paper provides arguments for this new stand and discusses an ontological model of representation based on the systematic distinction between form and content. The broadness and flexibility of the proposed model is shown by discussing a list of variegated representation entities from music to procedure, from novel to painting. The paper also investigates the role of letters (characters) in natural language expressions, which turns out to be quite complex.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"19 1","pages":"48-63"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90042048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Tsatsou, E. Lalama, S. Wilson-Barnes, Kathryn Hart, V. Cornelissen, R. Buys, I. Pagkalos, S. Dias, K. Dimitropoulos, P. Daras
This paper presents the NAct (Nutrition & Activity) Ontology, designed to drive personalised nutritional and physical activity recommendations and effectively support healthy living, through a reasoning-based AI decision support system. NAct coalesces nutritional, medical, behavioural and lifestyle indicators with potential dietary and physical activity directives. The paper presents the first version of the ontology, including its co-design and engineering methodology, along with usage examples in supporting healthy nutritional and physical activity choices. Lastly, the plan for future improvements and extensions is discussed.
{"title":"NAct: The Nutrition & Activity Ontology for Healthy Living","authors":"D. Tsatsou, E. Lalama, S. Wilson-Barnes, Kathryn Hart, V. Cornelissen, R. Buys, I. Pagkalos, S. Dias, K. Dimitropoulos, P. Daras","doi":"10.3233/faia210377","DOIUrl":"https://doi.org/10.3233/faia210377","url":null,"abstract":"This paper presents the NAct (Nutrition & Activity) Ontology, designed to drive personalised nutritional and physical activity recommendations and effectively support healthy living, through a reasoning-based AI decision support system. NAct coalesces nutritional, medical, behavioural and lifestyle indicators with potential dietary and physical activity directives. The paper presents the first version of the ontology, including its co-design and engineering methodology, along with usage examples in supporting healthy nutritional and physical activity choices. Lastly, the plan for future improvements and extensions is discussed.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"112 1","pages":"129-143"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87825666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Beßler, R. Porzel, M. Pomarlan, Abhijit Vyas, Sebastian Höffner, M. Beetz, R. Malaka, J. Bateman
In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such tasks seem to be trivial for humans, however, they pose severe problems for artificial agents. For starters, a natural language command requesting something will leave many pieces of information necessary for performing the task unspecified. Humans can solve such problems fast as we reduce the search space by recourse to prior knowledge such as a connected collection of plans that describe how certain goals can be achieved at various levels of abstraction. Rather than enumerating fine-grained physical contexts SOMA sets out to include socially constructed knowledge about the functions of actions to achieve a variety of goals or the roles objects can play in a given situation. As the human cognition system is capable of generalizing experiences into abstract knowledge pieces applicable to novel situations, we argue that both physical and social context need be modeled to tackle these challenges in a general manner. The central contribution of this work, therefore, lies in a comprehensive model connecting physical and social entities, that enables flexibility of executions by the robotic agents via symbolic reasoning with the model. This is, by and large, facilitated by the link between the physical and social context in SOMA where relationships are established between occurrences and generalizations of them, which has been demonstrated in several use cases in the domain of everyday activites that validate SOMA.
{"title":"Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents","authors":"D. Beßler, R. Porzel, M. Pomarlan, Abhijit Vyas, Sebastian Höffner, M. Beetz, R. Malaka, J. Bateman","doi":"10.3233/faia210379","DOIUrl":"https://doi.org/10.3233/faia210379","url":null,"abstract":"In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such tasks seem to be trivial for humans, however, they pose severe problems for artificial agents. For starters, a natural language command requesting something will leave many pieces of information necessary for performing the task unspecified. Humans can solve such problems fast as we reduce the search space by recourse to prior knowledge such as a connected collection of plans that describe how certain goals can be achieved at various levels of abstraction. Rather than enumerating fine-grained physical contexts SOMA sets out to include socially constructed knowledge about the functions of actions to achieve a variety of goals or the roles objects can play in a given situation. As the human cognition system is capable of generalizing experiences into abstract knowledge pieces applicable to novel situations, we argue that both physical and social context need be modeled to tackle these challenges in a general manner. The central contribution of this work, therefore, lies in a comprehensive model connecting physical and social entities, that enables flexibility of executions by the robotic agents via symbolic reasoning with the model. This is, by and large, facilitated by the link between the physical and social context in SOMA where relationships are established between occurrences and generalizations of them, which has been demonstrated in several use cases in the domain of everyday activites that validate SOMA.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"59 4 1","pages":"159-174"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79762577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we expose the legal theories underlying two important classes of Legal Core Ontologies and show how these ontologies inherit both limitations and benefits (such as explanatory power) of their underlying theories. We do that with the help of a real case study in which we have normative omission and collision of principles. We use this case study to conduct an ontological analysis of the support for judicial decision-making in LKIF-Core (representing Kelsen’s Pure Theory of the Law) and UFO-L (representing Robert Alexy’s Theory of Constitutional Rights). We show that UFO-L is able to articulate the semantics of the content of judicial decisions by making explicit the individual’s legal positions that are raised in argumentation along a legal process. The same cannot be said of LKIF-Core that is based on the Kelsenian stance and focuses on the representation of general norms (norm types) and subsumption of facts to these norms.
{"title":"Legal Theories and Judicial Decision-Making: An Ontological Analysis","authors":"Cristine Griffo, J. P. Almeida, G. Guizzardi","doi":"10.3233/faia200661","DOIUrl":"https://doi.org/10.3233/faia200661","url":null,"abstract":"In this paper, we expose the legal theories underlying two important classes of Legal Core Ontologies and show how these ontologies inherit both limitations and benefits (such as explanatory power) of their underlying theories. We do that with the help of a real case study in which we have normative omission and collision of principles. We use this case study to conduct an ontological analysis of the support for judicial decision-making in LKIF-Core (representing Kelsen’s Pure Theory of the Law) and UFO-L (representing Robert Alexy’s Theory of Constitutional Rights). We show that UFO-L is able to articulate the semantics of the content of judicial decisions by making explicit the individual’s legal positions that are raised in argumentation along a legal process. The same cannot be said of LKIF-Core that is based on the Kelsenian stance and focuses on the representation of general norms (norm types) and subsumption of facts to these norms.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"9 1","pages":"63-76"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80166040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mattia Fumagalli, Gábor Bella, Samuele Conti, Fausto Giunchiglia
The aim of transfer learning is to reuse learnt knowledge across different contexts. In the particular case of cross-domain transfer (also known as domain adaptation), reuse happens across different but related knowledge domains. While there have been promising first results in combining learning with symbolic knowledge to improve cross-domain transfer results, the singular ability of ontologies for providing classificatory knowledge has not been fully exploited so far by the machine learning community. We show that ontologies, if properly designed, are able to support transfer learning by improving generalization and discrimination across classes. We propose an architecture based on direct attribute prediction for combining ontologies with a transfer learning framework, as well as an ontology-based solution for cross-domain generalization based on the integration of top-level and domain ontologies. We validate the solution on an experiment over an image classification task, demonstrating the system’s improved classification performance.
{"title":"Ontology-Driven Cross-Domain Transfer Learning","authors":"Mattia Fumagalli, Gábor Bella, Samuele Conti, Fausto Giunchiglia","doi":"10.3233/faia200676","DOIUrl":"https://doi.org/10.3233/faia200676","url":null,"abstract":"The aim of transfer learning is to reuse learnt knowledge across different contexts. In the particular case of cross-domain transfer (also known as domain adaptation), reuse happens across different but related knowledge domains. While there have been promising first results in combining learning with symbolic knowledge to improve cross-domain transfer results, the singular ability of ontologies for providing classificatory knowledge has not been fully exploited so far by the machine learning community. We show that ontologies, if properly designed, are able to support transfer learning by improving generalization and discrimination across classes. We propose an architecture based on direct attribute prediction for combining ontologies with a transfer learning framework, as well as an ontology-based solution for cross-domain generalization based on the integration of top-level and domain ontologies. We validate the solution on an experiment over an image classification task, demonstrating the system’s improved classification performance.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"15 1","pages":"249-263"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78839272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Belief, desire, and intention are central notions in mentality and agency. We provide conceptual and formal foundations for an ontology of those mental entities. In this framework, beliefs and desires have a dual face: dispositional and occurrent. As distinct from beliefs and desires, intentions are dispositions to actions that emerge from a decision process in which occurrent beliefs and occurrent desires interact. We also discuss how our theory can be extended to some major philosophical accounts of desires, and cognitive biases such as wishful thinking.
{"title":"Foundations for an Ontology of Belief, Desire and Intention","authors":"Fumiaki Toyoshima, A. Barton, Olivier Grenier","doi":"10.3233/faia200667","DOIUrl":"https://doi.org/10.3233/faia200667","url":null,"abstract":"Belief, desire, and intention are central notions in mentality and agency. We provide conceptual and formal foundations for an ontology of those mental entities. In this framework, beliefs and desires have a dual face: dispositional and occurrent. As distinct from beliefs and desires, intentions are dispositions to actions that emerge from a decision process in which occurrent beliefs and occurrent desires interact. We also discuss how our theory can be extended to some major philosophical accounts of desires, and cognitive biases such as wishful thinking.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"206 1","pages":"140-154"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88584324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudio Masolo, L. Vieu, R. Ferrario, S. Borgo, Daniele Porello
Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and proposing a formal approach to characterise them. We conclude the presentation with a discussion and analysis of social groups within this framework.
{"title":"Pluralities, Collectives, and Composites","authors":"Claudio Masolo, L. Vieu, R. Ferrario, S. Borgo, Daniele Porello","doi":"10.3233/faia200671","DOIUrl":"https://doi.org/10.3233/faia200671","url":null,"abstract":"Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and proposing a formal approach to characterise them. We conclude the presentation with a discussion and analysis of social groups within this framework.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"54 1","pages":"186-200"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81621322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multiple ontology languages have been developed over the years, which brings afore two key components: how to select the appropriate language for the task at hand and language design itself. This engineering step entails examining the ontological ‘commitments’ embedded into the language, which, in turn, demands for an insight into what the effects of philosophical viewpoints may be on the design of a representation language. But what are the sort of commitments one should be able to choose from that have an underlying philosophical point of view, and which philosophical stances have a knock-on effect on the specification or selection of an ontology language? In this paper, we provide a first step towards answering these questions. We identify and analyse ontological commitments embedded in logics, or that could be, and show that they have been taken in well-known ontology languages. This contributes to reflecting on the language as enabler or inhibitor to formally characterising an ontology or an ontological investigation, as well as the design of new ontology languages following the proposed design process.
{"title":"An Analysis of Commitments in Ontology Language Design","authors":"P. Fillottrani, C. Keet","doi":"10.3233/faia200659","DOIUrl":"https://doi.org/10.3233/faia200659","url":null,"abstract":"Multiple ontology languages have been developed over the years, which brings afore two key components: how to select the appropriate language for the task at hand and language design itself. This engineering step entails examining the ontological ‘commitments’ embedded into the language, which, in turn, demands for an insight into what the effects of philosophical viewpoints may be on the design of a representation language. But what are the sort of commitments one should be able to choose from that have an underlying philosophical point of view, and which philosophical stances have a knock-on effect on the specification or selection of an ontology language? In this paper, we provide a first step towards answering these questions. We identify and analyse ontological commitments embedded in logics, or that could be, and show that they have been taken in well-known ontology languages. This contributes to reflecting on the language as enabler or inhibitor to formally characterising an ontology or an ontological investigation, as well as the design of new ontology languages following the proposed design process.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"31 12 1","pages":"46-60"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78322648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Functional relations such as containment or support have proven difficult to formalize. Although previous efforts have attempted this using hybrids of several theories, from mereology to temporal logic, we find that such purely symbolic approaches do not account for the embodied nature of functional relations, i.e. that they are used by embodied agents to describe fragments of a physical world. We propose a formalism that combines descriptions of a high level of abstraction with generative models that can be used to instantiate or recognize arrangements of objects and trajectories conforming to qualitative descriptions. The formalism gives an account of how a qualitative description of a scene or arrangement of objects can be converted into a quantitative description amenable to simulation, and how simulation results can be qualitatively interpreted. We use this to describe functional relations between objects in terms of spatial arrangements, expectations on behavior, and counterfactual expectations for when one of the participants is absent. Our method is able to tackle important questions facing an agent operating in the world, such as what would happen if an arrangement of objects is created and why. This gives the agent a deeper understanding of functional relations, including what role background objects, not explicitly asserted to participate in a functional relation such as containment, play in enabling or hindering the relation from holding.
{"title":"Embodied Functional Relations: A Formal Account Combining Abstract Logical Theory with Grounding in Simulation","authors":"M. Pomarlan, J. Bateman","doi":"10.3233/faia200668","DOIUrl":"https://doi.org/10.3233/faia200668","url":null,"abstract":"Functional relations such as containment or support have proven difficult to formalize. Although previous efforts have attempted this using hybrids of several theories, from mereology to temporal logic, we find that such purely symbolic approaches do not account for the embodied nature of functional relations, i.e. that they are used by embodied agents to describe fragments of a physical world. We propose a formalism that combines descriptions of a high level of abstraction with generative models that can be used to instantiate or recognize arrangements of objects and trajectories conforming to qualitative descriptions. The formalism gives an account of how a qualitative description of a scene or arrangement of objects can be converted into a quantitative description amenable to simulation, and how simulation results can be qualitatively interpreted. We use this to describe functional relations between objects in terms of spatial arrangements, expectations on behavior, and counterfactual expectations for when one of the participants is absent. Our method is able to tackle important questions facing an agent operating in the world, such as what would happen if an arrangement of objects is created and why. This gives the agent a deeper understanding of functional relations, including what role background objects, not explicitly asserted to participate in a functional relation such as containment, play in enabling or hindering the relation from holding.","PeriodicalId":90829,"journal":{"name":"Formal ontology in information systems : proceedings of the ... International Conference. FOIS (Conference)","volume":"2 1","pages":"155-168"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75857388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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