Overview
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The rapid developments of Internet of Things (IoT),
pervasive computing, edge computing, and context-aware systems have resulted
in increasingly complex environments in which heterogeneous devices
continuously generate large volumes of contextual data of different
modalities. Making these systems requires more than collecting and processing
data; it requires mechanisms for representing, integrating, interpreting,
reasoning over, and exploiting contextual knowledge. This workshop aims to bring together researchers
and practitioners interested in the development and application of
ontologies, knowledge representation, contextual data, semantic technologies,
and intelligent reasoning for Ambient Systems and Networks. The workshop particularly encourages contributions
that investigate how ontologies can provide a formal semantic layer for representing
entities, activities, environments, relationships, events, and contextual
information, enabling ambient systems to move from data-driven processing
toward knowledge-driven and context-aware intelligence. We invite original research papers, position
papers, application papers, and emerging research studies addressing
theoretical foundations, methodologies, architectures, datasets, tools, and
real-world applications. |
Objectives
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1. Establish a
multidisciplinary forum for researchers working on ontologies, contextual
data, and Ambient Intelligence. 2. Explore the
integration of explainable data in ambient networks. 3. Identify open
challenges in representing and reasoning about contextual information. 4. Encourage the
development of shared ontologies, datasets, benchmarks, and evaluation
methodologies. 5. Foster collaboration
between researchers working in IoT, AI, semantic technologies, pervasive
computing, healthcare, and smart environments. |
Target Audience
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1. Researchers and
academics are interested in applying AI techniques to solve problems related
to smart systems. 2. Data scientists and
analysts are seeking to improve their skills in AI-based analytics and
decision-making. 3. IT professionals and
engineers work with data multimodalities and explainable smart systems. 4. Graduate students
and aspiring professionals seeking experience in the field of AI and
contextual data integration. 5. Business leaders and
decision makers who want to understand how AI can contribute to developing
data-driven smart systems. 6. Policy makers and
practitioners are interested in the ethical, social, and regulatory aspects
of applying AI to big data. |
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Key
Topics |
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Ontology
Development for Ambient Systems |
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Ontology-enhanced
machine learning |
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Contextual
Data and Context Awareness |
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Context
modeling and representation |
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Context
acquisition and interpretation |
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Context-aware
computing |
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Temporal
and spatial context |
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User,
environmental, social, and behavioral context |
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Multimodal
contextual data |
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Context
uncertainty and incompleteness |
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Context-aware
decision making |
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Semantic
Internet of Things |
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Ontology-based
IoT systems |
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Semantic
interoperability |
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Knowledge
graphs for IoT |
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Context-aware
sensor networks |
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Semantic
communication in ambient networks |
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Human
Activity and Behavior Understanding |
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Smart
Healthcare and Assisted Living |
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Smart
Homes, Buildings, and Cities |
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Knowledge
Representation and Reasoning |
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Important
Dates |
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Paper
Submission Deadline: Feb 1, 2027 |
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Notification
of Acceptance: Feb 15, 2027 |
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Final
Manuscript Due: March 1, 2027 |
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Workshop
Dates: April 13-15, 2027 |
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Paper Submission |
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Submission
Link |
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Paper
Length |
Submitted technical
papers must be no longer than 6 pages including all figures, tables
and references. |
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Submission
System |
Authors are requested
to submit their papers electronically using the online conference
management system in PDF format before the deadline (see Important
Dates). |
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Paper Format |
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The
submitted paper must be formatted according to the guidelines
of Procedia Computer Science. Official Manuscript templates are: |
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Paper
Publication |
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Accepted
papers will be published in the Elsevier Procedia Computer Science
open-access series (Scopus). At least one author must register and present
the paper at the workshop. |
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Registration |
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Conference
Venu |
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Chief
Workshop Organizer |
Prof.
Mohammed GH. AL Zamil Prince
Sultan University Riyadh
/ Saudi Arabia |
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Tentative
Program Committee |
Prof.
Mohammed GH. AL Zamil / Prince Sultan University Prof. Samer
MJ Samarah / Prince Sultan University Prof. Prof.
Nijad Al-Najdawi / Prince Sultan University Prof. Wadii Boulila / Prince Sultan
University Prof. Izzat
Alsmadi / Texas A&M University, San Antonio Prof. Yaser
Jararweh / Jordan University of Science and Technology Prof. Nouh AL
Hindawi / Arizona State University Prof.
Abdelraouf Albsoul / Prince Sultan University Assoc. Prof.
Majdi Rawashdeh / Princess Summaya University Assoc. Prof.
Yazan Alshboul / Prince Sultan University Dr. Omaia Alomari / Prince Sultan University |
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