Storytelling Ontology Model Using RST

Nakasone, Arturo; Ishizuka, Mitsuru

doi:10.1109/iat.2006.114

Cited by 14 publications

(3 citation statements)

References 16 publications

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“…The studies on narrative models, which focus on describing the stories and show various relationships among the entities in the story, are helpful to the semantics representation of narrative images. The story contains the plots composed of the events and the entity behaviours; therefore, most narrative models, such as the drama ontology (Damiano et al , 2005) and the storytelling ontology (Nakasone and Ishizuka, 2006), establish the framework on the stories, events, agents and semantic roles. In recent years, many narrative models were proposed to describe the events in various fields, for example, the “simple event model” (SEM) proposed by the researchers of Vrije Universiteit Amsterdam (van Hage et al , 2011), the “Event Model F” proposed to represent the correlation between events in the real world (Scherp et al , 2009) and “Event Model E” created for multimedia content management (Westermann and Jain, 2007).…”

Section: Related Workmentioning

confidence: 99%

Towards a semantics representation framework for narrative images

Wang

et al. 2019

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Purpose The purpose of this paper is to explore a semantics representation framework for narrative images, conforming to the image-interpretation process. Design/methodology/approach This paper explores the essential features of semantics evolution in the process of narrative images interpretation. It proposes a novel semantics representation framework, ESImage (evolution semantics of image) for narrative images. ESImage adopts a hierarchical architecture to progressively organize the semantic information in images, enabling the evolutionary interpretation under the support of a graph-based semantics data model. Also, the study shows the feasibility of this framework by addressing the issues of typical semantics representation with the scenario of the Dunhuang fresco. Findings The process of image interpretation mainly concerns three issues: bottom-up description, the multi-faceted semantics representation and the top-down semantics complementation. ESImage can provide a comprehensive solution for narrative image semantics representation by addressing the major issues based on the semantics evolution mechanisms of the graph-based semantics data model. Research limitations/implications ESImage needs to be combined with machine learning to meet the requirements of automatic annotation and semantics interpretation of large-scale image resources. Originality/value This paper sorts out the characteristics of the gradual interpretation of narrative images and has discussed the major issues in its semantics representation. Also, it proposes the semantic framework ESImage which deploys a flexible and sound mechanism to represent the semantic information of narrative images.

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Section: Related Workmentioning

confidence: 99%

Towards a semantics representation framework for narrative images

Wang

et al. 2019

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“…In [4], a story is defined as "a meaningful collection of events, people, and/or things, which denotes a causal or temporal linkage among them". Various methods exist for computer-mediated storytelling and a very good survey of such work is provided in [10]. Closer to our work are systems that create stories around images taken, such as in [11] and [12].…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Lifestyle Stories: Correlating User Information through a Story-Inspired Paradigm

Pavel¹,

Trossen²,

Holweg³

et al. 2013

Proceedings of the ICTs for Improving Patients Rehabilitation Research Techniques

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Lifestyle management area has been developing over the past years due to an increasing individual and societal need for self-awareness. Technologies play an essential role as they can capture, interpret, and visualize various aspects of users' lives. One of the challenges introduced by capturing large and varied amounts of data lays in organizing and displaying it to end users. We present here our novel approach for dealing with such challenge through a story-inspired paradigm. The paper includes a short description of the system design as well as an exploratory study we performed in order to inform and advance our automatic story creation framework. 1

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“…Therefore, using these other two ontologies and the proposed by themselves, applications that make computers more accessible, personalised and adapted to user needs can be developed. Nakasone and Ishizuka (2006) presented a generic storytelling ontology model, the Concept Ontology, based on the organization of events using the relations proposed by the Rhetorical Structure Theory (RST). A concept in their ontology represents a topic in which the story, or part of the story, is based.…”

Section: State Of Artmentioning

confidence: 99%

Why Do I Feel Like This?

Arellano

Varona

Perales

2011

International Journal of Synthetic Emotions

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One of the milestones in creation of virtual characters is the achievement of believability, which can be done through the representation of emotions using behaviours, voice, or facial expressions. To know which emotions to elicit in a variety of situations it is necessary to have a framework for reasoning, which is why context representation is important when creating synthetic emotions. It provides a description of what is occurring around the character, eliciting different emotions in the same situation or the same emotions in different situations. The novelty of this work is the representation of context, not only as events in the world, but also as the internal characteristics of the character, which when related with the events, give believable emotional responses.

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Storytelling Ontology Model Using RST

Abstract: Abstract

Cited by 14 publications

References 16 publications

Towards a semantics representation framework for narrative images

Towards a semantics representation framework for narrative images

Lifestyle Stories: Correlating User Information through a Story-Inspired Paradigm

Why Do I Feel Like This?

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