Coupling Ontologies with Graphics Content for Knowledge Driven Visualization

Kalogerakis, Evangelos; Christodoulakis, Stavros; Moumoutzis, Nektarios

doi:10.1109/vr.2006.41

Cited by 63 publications

(43 citation statements)

References 14 publications

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“…In [23], an ontology providing elements and properties that are equivalent to elements and properties specified in X3D has been proposed. Moreover, a set of semantic properties have been proposed to enable description of 3D scenes with domain knowledge.…”

Section: State Of the Artmentioning

confidence: 99%

“…Mapping the other classes of the application-specific ontology to PO classes has been performed in a similar fashion (19)(20)(21). Moreover, two basic shapes (the rm:Box and the rm:Cylinder) are designed (23)(24)(25)(26)(27)(28)(29)(30)(31)(32) and assembled into the aso:Stool PO class (33)(34)(35)(36)(37)(38)(39)(40). Every rm:Box and rm:Cylinder included in a aso:Stool have dimensions and relative positions specified (41-52).…”

Section: Listing 1 a Concrete Content Representation (Crr)mentioning

confidence: 99%

“…In line 20, a cut-off and a negation-as-failure are used to determine a stool, for which no x coordinate has been specified. Next, in one declaration all artifacts are assigned to stools (23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33). Finally, all artifacts and stools are incorporated in the cpr:granary (35-38).…”

Section: Inmentioning

confidence: 99%

“…For every artifact, a Transform node with a position indicated by the translation attribute is generated (e.g., [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. It includes a Shape node with a material and an optional texture.…”

Section: Inmentioning

confidence: 99%

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Conceptual knowledge-based modeling of interactive 3D content

Flotyński

Walczak

2014

Vis Comput

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Three-dimensional content offers a powerful medium enabling rich, interactive visualization in virtual and augmented reality systems, which are increasingly used in a variety of application domains, such as education, training, tourism and cultural heritage. The creation of interactive 3D presentations is typically a complex process covering diverse aspects of the content such as geometry, structure, space, appearance, animation and behavior. Recent trends in the development of the semantic web provide new opportunities for simplifying 3D content creation, which may be performed at different levels of abstraction and may encompass the inference of hidden knowledge, which may influence the created content. However, the available approaches to 3D content creation do not enable conceptual knowledgebased modeling of 3D content. The main contribution of this paper is an approach to semantic creation of 3D content. The proposed solution leverages the semantic web techniques to enable conceptual, knowledge-driven content creation. The proposed approach has been implemented and evaluated. It has been shown that the approach can significantly simplify modeling of advanced 3D content presentations in comparison with the available approaches.

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Section: State Of the Artmentioning

confidence: 99%

Section: Listing 1 a Concrete Content Representation (Crr)mentioning

confidence: 99%

Section: Inmentioning

confidence: 99%

Section: Inmentioning

confidence: 99%

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Conceptual knowledge-based modeling of interactive 3D content

Flotyński

Walczak

2014

Vis Comput

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“…However, very few of them advocate the combination of semantic web and Virtual Reality. Kalogerakis [5] shows an interoperable framework for the integration of virtual reality scenes with semantic information. This includes methodologies and tools for the exploitation of this framework, like semantic querying, interaction, personalization and construction of scenes with inference.…”

Section: E-field and Integrated Operationsmentioning

confidence: 99%

Immersive Safety Handling and Training

Sjøvoll¹,

Tjåland²

2006

CMST

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Abstract:A central challenge for the oil industry is to make correct decisions in abnormal, complex and time-critical settings. This is to ensure safety, regularity and optimized operation and production. A new information platform has been developed to identify and localize unwanted events, and to train control room operators for optimal decision making. This platform has been implemented in an immersive CAVE environment to ensure a realistic setting and a better understanding of the problem. The system reports unwanted events in a 3D environment, and the user may obtain error handling procedures to rectify the given problem. These procedures are retrieved by semantic searches in an ontology. The ontology is stored in a central repository, and accessed through a client-server connection.

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Populating semantic virtual environments

Pelkey

Allbeck

2014

Computer Animation & Virtual

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The capacity for knowledge representation within simulated environments is a growing field of research geared toward the inclusion of detailed descriptors within the environment through which to provide a virtual agent the knowledge necessary to afford decision‐making and interaction. One such layer of representation is that concerning the natural‐language, or semantic, depiction of the environment and the objects within it. However, even as technology grows more capable of representing such information‐rich environments, the process of authoring and injecting this knowledge has largely remained a manual effort. Not only is this effort arduous for the author in both time and energy expenditure required, but the process also lends itself to limiting the ontology of the simulation further constraining the extent to which such knowledge may be used. Here, we offer an affordable method for semi‐automating the generation and injection of semantic properties into a virtual environment for the purpose of producing more natural agent‐object interaction. Copyright © 2014 John Wiley & Sons, Ltd.

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Coupling Ontologies with Graphics Content for Knowledge Driven Visualization

Cited by 63 publications

References 14 publications

Conceptual knowledge-based modeling of interactive 3D content

Conceptual knowledge-based modeling of interactive 3D content

Immersive Safety Handling and Training

Populating semantic virtual environments

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