Applied Ontology

Scope & Guideline

Empowering Scholars with High-Quality Research

Introduction

Delve into the academic richness of Applied Ontology with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1570-5838
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2005 to 2024
AbbreviationAPPL ONTOL / Appl. Ontol.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Applied Ontology' aims to advance the field of ontology by exploring its applications across various domains and providing insights into knowledge representation and semantic modeling. Here are the main aims and scopes of the journal:
  1. Ontology Development and Management:
    Focuses on methodologies for creating, managing, and reusing ontologies, addressing challenges related to consensus creation and representation.
  2. Application of Ontologies in Various Domains:
    Explores the application of ontologies in diverse fields such as healthcare, legal terminology, smart cities, and automotive industries, emphasizing practical implementations and case studies.
  3. Interdisciplinary Approaches to Knowledge Representation:
    Encourages the integration of ontological frameworks with other disciplines, such as linguistics, computer science, and social sciences, to enhance knowledge representation.
  4. Formal Ontology and Foundational Models:
    Examines foundational ontologies and their role in providing a structured basis for semantic interoperability and data integration across systems.
  5. Ontology Evaluation and Enhancement:
    Investigates methods for assessing the effectiveness of ontologies and improving their design to better meet user needs and application requirements.
The journal 'Applied Ontology' is actively evolving, reflecting changing research interests and emerging themes within the field. The following points illustrate the trending and emerging scopes:
  1. Integration of Ontologies with Emerging Technologies:
    Recent works emphasize the convergence of ontologies with technologies such as blockchain and large language models, suggesting a growing interest in how ontologies can enhance these technologies.
  2. Dynamic and Adaptive Ontologies:
    There is an increasing focus on developing ontologies that can adapt to real-time data and user interactions, exemplified by papers discussing dynamic frame-based ontologies and quality-of-life models.
  3. Interdisciplinary Research in Ontology:
    A trend towards interdisciplinary approaches is evident, with publications merging insights from linguistics, social sciences, and informatics to create more robust ontological frameworks.
  4. Ontology in User-Generated Content:
    The application of ontological models to analyze and improve user-generated content, particularly in smart city contexts, is gaining traction as a relevant and impactful area of study.
  5. Collaborative Ontology Development:
    The importance of collaborative efforts in ontology development is highlighted, with discussions around guidelines for ontology reuse and consensus-driven approaches becoming more prominent.

Declining or Waning

While 'Applied Ontology' continues to explore various themes, certain areas are witnessing a decline in focus. The following points highlight these waning themes:
  1. Historical and Cultural Ontologies:
    Topics related to the ontological modeling of historical artifacts and cultural heritage, such as the 'ideal Benedictine Monastery' and 'Arabic ontology', are less frequently addressed in recent publications.
  2. Basic Formal Ontology (BFO) and Its Variants:
    Although foundational ontologies like BFO were once prominent, their discussion appears to be decreasing, potentially overshadowed by more dynamic and application-oriented ontological frameworks.
  3. Traditional Knowledge Representation Models:
    Themes centered around conventional knowledge representation techniques are becoming less prevalent as the focus shifts towards more innovative and interdisciplinary approaches.
  4. Single-Domain Specific Ontologies:
    A noticeable decrease in the development of ontologies tailored to very specific domains, as the community moves towards more generalized frameworks that can be adapted across multiple domains.
  5. Static Ontological Structures:
    The interest in static, unchanging ontological models is waning in favor of dynamic and evolving ontologies that can adapt to changing data and user needs.

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