Representing Dramatic Features of Stories through an Ontological Model

2011 ◽  
pp. 122-127 ◽  
Author(s):  
Mario Cataldi ◽  
Rossana Damiano ◽  
Vincenzo Lombardo ◽  
Antonio Pizzo
Keyword(s):  
Ontological Model

Modeling Affordances and Functioning for Personalized Robotic Assistance

2020 ◽  
Author(s):  
Alessandro Umbrico ◽  
Gabriella Cortellessa ◽  
Andrea Orlandini ◽  
Amedeo Cesta
Keyword(s):  
Domain Knowledge ◽  
Experimental Tests ◽  
International Classification Of Functioning ◽  
Knowledge Representation And Reasoning ◽  
Health State ◽  
Knowledge Reasoning ◽  
Cognitive Assistance ◽  
Ontological Model ◽  
And Function

A key aspect of robotic assistants is their ability to contextualize their behavior according to different needs of assistive scenarios. This work presents an ontology-based knowledge representation and reasoning approach supporting the synthesis of personalized behavior of robotic assistants. It introduces an ontological model of health state and functioning of persons based on the International Classification of Functioning, Disability and Health. Moreover, it borrows the concepts of affordance and function from the literature of robotics and manufacturing and adapts them to robotic (physical and cognitive) assistance domain. Knowledge reasoning mechanisms are developed on top of the resulting ontological model to reason about stimulation capabilities of a robot and health state of a person in order to identify action opportunities and achieve personalized assistance. Experimental tests assess the performance of the proposed approach and its capability of dealing with different profiles and stimuli.

Ontological Model of Government Documents

2013 ◽  
Author(s):  
Tatiana Vashchilko
Keyword(s):  
Qualitative And Quantitative ◽  
Legal Documents ◽  
Government Documents ◽  
The Subject ◽  
Ontological Model ◽  
Investment Agreements ◽  
Extract Information

The paper develops an ontological model to extract information from government legal documents and facilitate the understanding of its content. In particular, international bilateral investment agreements between countries are the subject of analysis, which aims to quantify their semantic diversity. The paper argues it as an accurate approach to extract qualitative and quantitative information.Cette communication expose un modèle ontologique pour extraire de l’information à partir des documents juridiques du gouvernement et faciliter la compréhension du contenu. Plus particulièrement, les ententes internationales d’investissements bilatéraux entre pays ont fait l’objet d’une analyse, dans le but de quantifier la diversité sémantique. La communication conclut qu’il s’agit d’une approche exacte pour extraire de l’information qualitative et quantitative.

scholarly journals Cloud-Edge Collaboration-Based Knowledge Sharing Mechanism for Manufacturing Resources

2021 ◽  
Vol 11 (7) ◽  
pp. 3188
Author(s):  
Xixiang Wang ◽  
Jiafu Wan
Keyword(s):  
Knowledge Sharing ◽  
Comparative Experiment ◽  
Mixed Flow ◽  
Processing Technologies ◽  
Experiment Platform ◽  
Low Degree ◽  
Manufacturing Resources ◽  
Ontological Model ◽  
Manufacturing Environments ◽  
Similar Processing

The development of multi-variety, mixed-flow manufacturing environments is hampered by a low degree of automation in information and empirical parameters’ reuse among similar processing technologies. This paper proposes a mechanism for knowledge sharing between manufacturing resources that is based on cloud-edge collaboration. The manufacturing process knowledge is coded using an ontological model, based on which the manufacturing task is refined and decomposed to the lowest-granularity concepts, i.e., knowledge primitives. On this basis, the learning process between devices is realized by effectively screening, matching, and combining the existing knowledge primitives contained in the knowledge base deployed on the cloud and the edge. The proposed method’s effectiveness was verified through a comparative experiment contrasting manual configuration and knowledge sharing configuration on a multi-variety, small-batch manufacturing experiment platform.

scholarly journals Ontology-Based Context Event Representation, Reasoning, and Enhancing in Academic Environments

2021 ◽  
Vol 13 (6) ◽  
pp. 151
Author(s):  
Josué Padilla-Cuevas ◽  
José A. Reyes-Ortiz ◽  
Maricela Bravo
Keyword(s):  
Physical Space ◽  
Evaluation Process ◽  
Event Representation ◽  
Network Resources ◽  
Academic Environments ◽  
Time Space ◽  
Event Information ◽  
Event Driven ◽  
Ontological Model ◽  
Academic Events

An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people, which is significant for modeling the context. In this paper, we propose an event-driven approach for context representation based on an ontological model. This approach is extendable and adaptable for academic domains. Moreover, the ontological model to be proposed is used in reasoning and enrichment processes with the context event information. Our event-driven approach considers five contexts as a modular perspective in the model: Person, temporal (time), physical space (location), network (resources to acquire data from the ambient), and academic events. We carried out an evaluation process for the approach based on an ontological model focused on (a) the extensibility and adaptability of use case scenarios for events in an academic environment, (b) the level of reasoning by using competence questions related to events, (c) and the consistency and coherence in the proposed model. The evaluation process shows promising results for our event-driven approach for context representation based on the ontological model.

Trinity Metaphysics

2021 ◽  
pp. 107-116
Author(s):  
Nikita A. Solovyev ◽  
Keyword(s):  
The Body ◽  
Quantum Object ◽  
Material Body ◽  
Modern Cosmology ◽  
Ontological Model ◽  
Mental Space ◽  
The Absolute ◽  
Other World ◽  
The Universe ◽  
Living Being

A ternary ontological model in which the living being is a triad of I – form – substrate is described. I is an intangible subject, contemplating the content of consciousness and controlling the material body, which is the unity of the form and the substrate. The contents of consciousness are connected both with the form of the body, which I contemplate in the inner “mental space” in the form of in­formation, and with the substrate, which embodies the forms of the body and is responsible for sensations and intentions. The problem of control of the material body by the non-material self is solved under the assumption that the human brain is a quantum object. The ternary model of a living being is inscribed in an absolute ontology, in which the Absolute also has a threefold structure and is the unstitched unity of the absolute I, the absolute Form and the absolute Sub­strate. The Absolute creates the other world with its threefold energies, which provides the threefold structure of a living being. The created world arises from the timeless world of the potential possibilities of the Universe, which modern cosmology associates with its wave function. Created entities arise in the process of alienation from the Absolute, resulting in free will.

Knowledge management of automobile system failures through development of failure knowledge ontology from maintenance experience

2017 ◽  
Vol 14 (4) ◽  
pp. 425-445 ◽  
Author(s):  
Ajith Tom James ◽  
O.P. Gandhi ◽  
S.G. Deshmukh
Keyword(s):  
Knowledge Management ◽  
Service Providers ◽  
Research Work ◽  
Data Entry ◽  
Operating Conditions ◽  
Service Experience ◽  
Content Type ◽  
System Failures ◽  
Explicit Consideration ◽  
Ontological Model

Purpose The purpose of this paper is to develop an ontological model of failure knowledge of automobile systems that will enhance the knowledge management of automobile system failures, which will help for design and maintenance of automobiles. Failure knowledge of automobile systems and components gained through maintenance and repair can mitigate future failures, if integrated in the design. This is an outcome of this paper. Design/methodology/approach A failure coding scheme is developed for assimilating various entities of automobile failure knowledge and an ontological model is developed for its systematic structuring and representation. The developed failure code is a combination of alphanumeric and numeric code that incorporates ingredients of the failure knowledge, which will help database management, with reduced data entry time and storage space. Findings The maintenance of automobiles not only brings back the systems into operating conditions but also convey a lot of information regarding the failures. This is a useful input to the designers in development of reliable and maintainable automobile systems. A knowledge base can be created for automobile systems/components failures from their maintenance and service experience. Research limitations/implications Developed ontological model of automobile failure knowledge gained through maintenance experience can be shared across automobile manufacturers and service providers. This would help in design improvements, with ease and efficient undertaking of maintenance activities. This paper proposes the conceptual ontology structure, which is populated with three cases of automobile maintenance. Originality/value This research work is a first attempt to develop an ontological model for automobile failures from their maintenance and service experience. The novelty of the work is in its explicit consideration of all knowledge related to failures and maintenance of automobile systems, with their coding and structuring.

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