a context model based on ontological languages: a proposal for information visualization school of...

A Context Model based on A Context Model based on Ontological Languages: a Ontological Languages: a Proposal for Information Proposal for Information

VisualizationVisualizationSchool of Informatics

Castilla-La Mancha UniversityRamón Hervás

José BravoJesús Fontecha

Journal of Universal Computer Science 2010

Outline

• Introduction• Context Model Backgrounds• Modeling by Means of Ontological Formal Def.• Proposal: A Generic and Adaptable Context

Model• Conclusion

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ContextCharacterize the situation of an entity

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Context-Aware ApplicationUse context to provide relevant information and/or service to user

where depends on the user’s task

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Context InformationWho, Where, When, What & Why

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Semantic WebEnhance the degree of independence

Reduce the adaptation effortIncrease the system flexibility

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Context Model

Context detection

Context queries

Context adaptation

Explicit representation

Requirements• Generality• Richness and detail• Distributed composition• Partial Validation• Quality of information• Ambiguity handling• Level of formality• Applicability to real environments• Evolutionary development• Interoperability• Reasoning and inference• Ease of use

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OntologySpecification of conceptualization

Benefits

• Structuring, organizing and reusing knowledge• Acquiring context from diverse and heterogeneous

sources• Reducing inconsistencies and generating additional

context• Interoperability among models or specific domain

vocabularies• Reducing the difficulties related to the technological

diversity• Reducing the adaptation effort and increasing the

element reuse

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Benefits

• Allow and simplify the communication among humans, systems

• Enable the selectively access subsets of large amount of maintained context

• Define smart behaviors of the environment entities depending on the context situation

• Reduce the cost of implementing and maintaining the context model

• Enable the detection of inconsistencies and, even, resolve them

• Facilitate the dynamic and spontaneous entities discovery

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Identity

LocationActivity

Time

Identity

LocationEnvironment

Time

User

PlatformEnvironment

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User Model Requisites• Ambiguity solving

– Unworthy user modal data• Privacy and feedback

– User’s situation• Model formalization

– Expressive graphical representation• Model generalization

– Diverse usage purpose• Personal information embodying

– Personal devices• Launching

– Highly dynamic

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Device Model Requisites

• Definition of relationships– Service <->Device <-> User

• Conceptualization of device status– Define general properties, specialization of the status

• Dependencies and relationships between devices

• Taxonomical organization– Sensors, actuators, autonomous devices, dependent

devices• Software and hardware profiles– General characteristics

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Visualization Service Model Requisites

• Relationship between visualization and context– Visual data representation

• Metaphors and patterns– Human perception

• Visualization pipeline– Visual mapping

• Methods and interaction paradigms– Interact with the service

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Visualization Service Model Requisites

• Structure and characteristics of the view– Display various types of contents

• Social issues– Social user group

• Data Characteristics– Transform the data sets to visual representation

• Scalability– Zooming, paging, filtering…

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Conclusions

• One context model – Frame-based formal language

• Two dimensions – 5W,4O

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