Ontologies for intelligent vision systems

Joanna Isabelle Olszewska

Ontologies for intelligent vision systems

School of Computing, Engineering and Physical Sciences

Research output: Contribution to conference › Presentation

Abstract

Intelligent Vision Systems are increasingly present in our Society from street surveillance cameras to indoor sport training set-ups, from drones to companion robots. To ensure an efficient communication between these systems and operating agents, ontologies provide an effective and interoperable solution well suited for real-world interactions. Thus, this tutorial introduces the topic of ontologies for intelligent vision systems in light of the main challenges in that research field and the developed solutions and standards based on computer vision and artificial intelligence methods.

Original language	English
Publication status	Published - 18 Sept 2018
Event	10th International Conference on Knowledge Engineering and Ontology Development - Seville, Spain Duration: 18 Sept 2018 → 20 Sept 2018 http://www.keod.ic3k.org/Home.aspx?y=2018

Conference

Conference	10th International Conference on Knowledge Engineering and Ontology Development
Abbreviated title	KEOD 2018
Country/Territory	Spain
City	Seville
Period	18/09/18 → 20/09/18
Internet address	http://www.keod.ic3k.org/Home.aspx?y=2018

Keywords

Domain Ontologies
Domain Analysis and Modeling
Knowledge Representation
Knowledge Engineering
Spatio-Temporal Visual Ontology
Integration and Interoperability
Human-Machine Cooperation
Decision Support Systems
Intelligent Vision Systems

Access to Document

http://www.keod.ic3k.org/Tutorials.aspx?y=2018

Cite this

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title = "Ontologies for intelligent vision systems",

abstract = "Intelligent Vision Systems are increasingly present in our Society from street surveillance cameras to indoor sport training set-ups, from drones to companion robots. To ensure an efficient communication between these systems and operating agents, ontologies provide an effective and interoperable solution well suited for real-world interactions. Thus, this tutorial introduces the topic of ontologies for intelligent vision systems in light of the main challenges in that research field and the developed solutions and standards based on computer vision and artificial intelligence methods. ",

keywords = "Domain Ontologies, Domain Analysis and Modeling, Knowledge Representation, Knowledge Engineering, Spatio-Temporal Visual Ontology, Integration and Interoperability, Human-Machine Cooperation, Decision Support Systems, Intelligent Vision Systems",

author = "Olszewska, {Joanna Isabelle}",

year = "2018",

month = sep,

day = "18",

language = "English",

note = "10th International Conference on Knowledge Engineering and Ontology Development, KEOD 2018 ; Conference date: 18-09-2018 Through 20-09-2018",

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T1 - Ontologies for intelligent vision systems

AU - Olszewska, Joanna Isabelle

PY - 2018/9/18

Y1 - 2018/9/18

N2 - Intelligent Vision Systems are increasingly present in our Society from street surveillance cameras to indoor sport training set-ups, from drones to companion robots. To ensure an efficient communication between these systems and operating agents, ontologies provide an effective and interoperable solution well suited for real-world interactions. Thus, this tutorial introduces the topic of ontologies for intelligent vision systems in light of the main challenges in that research field and the developed solutions and standards based on computer vision and artificial intelligence methods.

AB - Intelligent Vision Systems are increasingly present in our Society from street surveillance cameras to indoor sport training set-ups, from drones to companion robots. To ensure an efficient communication between these systems and operating agents, ontologies provide an effective and interoperable solution well suited for real-world interactions. Thus, this tutorial introduces the topic of ontologies for intelligent vision systems in light of the main challenges in that research field and the developed solutions and standards based on computer vision and artificial intelligence methods.

KW - Domain Ontologies

KW - Domain Analysis and Modeling

KW - Knowledge Representation

KW - Knowledge Engineering

KW - Spatio-Temporal Visual Ontology

KW - Integration and Interoperability

KW - Human-Machine Cooperation

KW - Decision Support Systems

KW - Intelligent Vision Systems

UR - http://www.keod.ic3k.org/Home.aspx?y=2018

M3 - Presentation

T2 - 10th International Conference on Knowledge Engineering and Ontology Development

Y2 - 18 September 2018 through 20 September 2018

ER -

Ontologies for intelligent vision systems

Abstract

Conference

Keywords

Access to Document

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