检索结果-内蒙古大学图书馆

IEEE 20th international conference on Automation Science and engineering (CASE)

作者： Hoefgen, Josua Vogel-Heuser, Birgit Vicaria, Alejandra Pouzolz, Francois Kurzhals, Christian Tech Univ Munich Chair Automat & Informat Syst Munich Germany Airbus Def & Space GmbH Taufkirchen Germany

ISBN: (纸本)9798350358513;9798350358520

System architecture decisions are typically informally captured in design documents. This practice leads to a loss of knowledge that impedes later activities like design changes, impact analysis, and reuse. Model-Based Systems engineering (MBSE) frameworks support the development of increasingly complex systems but must address the problem of capitalization on architectural knowledge. To this end the "Decision ontology for System Architectures (DOSA)" is developed to provide a formalized data model to capture system architecture decisions. DOSA is developed through a synthesis of decisions observed while developing an architecture model for a preliminary study of a novel satellite navigation system at Airbus Defence and Space. The approach is integrated into an MBSE framework enabling engineers to capture decisions that influence the architecture's characteristics while developing the system model and imminently trace decision to artifacts of the system architecture. Subsequent visual inspection and formal querying of the decision graph facilitates the analysis of made decisions, and their interrelations.

关键词： MBSE System Architecture Decision Management ontology

来源：评论

学校读者我要写书评

暂无评论

Quantifying Domain-Application knowledge Mismatch in ontology-Guided Machine Learning 16

Quantifying Domain-Application Knowledge Mismatch in Ontolog...

引用

16th international conference on knowledge engineering and ontology development, KEOD 2024 as part of 16th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2024

作者： Bielski, Pawel Witterauf, Lena Jendral, Sönke Mikut, Ralf Bach, Jakob Karlsruhe Germany

ISBN: (纸本)9789897587160

In this work, we study the critical issue of knowledge mismatch in ontology-guided machine learning (OGML), specifically between domain ontologies and application ontologies. Such mismatches may arise when OGML uses ontological knowledge that was originally created for different purposes. Even if ontological knowledge improves the overall OGML performance, mismatches can lead to reduced performance on specific data subsets compared to machine-learning models without ontological knowledge. We propose a framework to quantify this mismatch and identify the specific parts of the ontology that contribute to it. To demonstrate the framework’s effectiveness, we apply it to two common OGML application areas: image classification and patient health prediction. Our findings reveal that domain-application mismatches are widespread across various OGML approaches, machine-learning model architectures, datasets, and prediction tasks, and can impact up to 40% of unique domain concepts in the datasets. We also explore the potential root causes of these mismatches and discuss strategies to address them. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

An ontology based Approach for knowledge Sharing between Product Design and Assembly Process Planning (APP) 22

An Ontology based Approach for Knowledge Sharing between Pro...

引用

22nd international conference on Research and Education in Mechatronics

作者： Hasan, Baha M. Alhaj Jordan Univ Dept Ind Engn Amman Jordan

ISBN: (纸本)9798331505981;9798331505974

This paper presents a semantic approach to support knowledge sharing within the assembly domain. More specifically, this paper is focusing on capturing and sharing assembly design knowledge and integrating the assembly design domain and the Assembly Process Planning (APP) domain by utilizing ontological modelling techniques. This paper is structured as follows: an introduction about the assembly design and the assembly process planning (APP), and utilizing ontology in assembly design sharing is introduced in the first section. background literature is reviewed in the second section. The methodology utilized in developing the proposed ontology is explained in the third section. ontology development is illustrated in details in the fourth section. The conclusion is conducted, and the paper ends up with references.

关键词： Assembly design product design Assembly Process Planning (APP) ontology foundation ontology domain ontology OWL

来源：评论

学校读者我要写书评

暂无评论

Collaboration Patterns ontology for Human-Machine Decision Support 16

Collaboration Patterns Ontology for Human-Machine Decision S...

引用

作者： Smirnov, Alexander Levashova, Tatiana St. Petersburg Federal Research Center of the Russian Academy of Sciences 39 14th line St. Petersburg199178 Russia

ISBN: (纸本)9789897587160

Collaboration of humans and machines when they complement capabilities of each other is becoming increasingly relevant. Recurring problems often arise in the collaboration process. Collaboration patterns that provide reusable efficient and proven solutions for recurring problems is a means to facilitate organization of joint activities for specific collaboration goals such as decision support. Existing studies on collaboration patterns make it clear that collaboration faces problems of diverse classes. The paper proposes a holistic view on human-machine collaboration relatively to the decision support domain where a human-machine environment processes a task that the user deals with as a decision support problem. During task processing, humans and machines use collaboration patterns when they intend to achieve goals for which the patterns propose solutions. A collaboration patterns ontology supports the choice of a kind of pattern that the collaborators can use to accomplish a specific goal. The present research provides models for organization of pattern-based collaboration and contributes to the problem of human-machine decision support suggesting a pattern-based decision support process. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： ontology

来源：评论

学校读者我要写书评

暂无评论

Semantic-Aware Validation in Model-Driven Requirements engineering Using SHACL 16

Semantic-Aware Validation in Model-Driven Requirements Engin...

引用

作者： Markaj, Artan Gehlhoff, Felix Fay, Alexander Institute of Automation Technology Helmut-Schmidt-University Hamburg Hamburg Germany Ruhr University Bochum Bochum Germany

ISBN: (纸本)9789897587160

The development and implementation of technical system concepts require validation to ensure that stakeholder needs, goals, and requirements are fulfilled. Model-driven requirements engineering focuses on the automatic transformation of requirements into concepts and can be supported by ontologies for semantically unambiguous specifications. However, automated and systematic requirements validation using ontologies remains a challenging process. In this contribution, we propose a concept consisting of a systematic workflow, algorithm, and templates for semantic-aware validation in model-driven requirements engineering using Shapes Constraint Language, a formal language for constraint-based ontology validation. The workflow begins with the definition of validation use cases from a requirements model. These use cases are modeled as ontologies using the same metamodel as the requirements. By using Shapes Constraint Language templates, shapes can be generated and enriched with use case-specific information. Lastly, engineering concepts are validated against the requirements by using the defined shapes. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Requirements engineering

来源：评论

学校读者我要写书评

暂无评论

Human Robot Interaction through an ontology-based Dialogue Engine 24

Human Robot Interaction through an Ontology-based Dialogue E...

引用

19th Annual ACM/IEEE international conference on Human-Robot Interaction (HRI)

作者： Saracco, Alessandro Lillo, Alberto Stranisci, Marco Gena, Cristina Univ Turin Turin Italy

ISBN: (纸本)9798400703232

This paper outlines the evolution of the Sugar, Salt, & Pepper project for high level functioning children afected by autism, focusing on the development of a dialogue system that relies on an ontologybased knowledge base. The ontology ofers a formal representation of knowledge and interrelationships within the movie domain. The dialogue system addresses issues related to predefned answers, emphasizing adaptability for multi-platform use, particularly in the context of the social robot Pepper. The research covers detailed phases of construction and development, highlighting implementation choices and challenges faced. This work tries to make an advancement in the development of sophisticated and intuitive human-robot interaction systems, capable of adapting to user needs and delivering increasingly accurate and consistent responses.

关键词： ontology Human-Robot Interaction Dialog Machine Learning

来源：评论

学校读者我要写书评

暂无评论

Semantic knowledge Graph Generator and ontology Recommender: Industry Use Cases

引用

international JOURNAL OF SEMANTIC COMPUTING 2024年第2期18卷 223-238页

作者： Ferguson, Holly Yu, Dan Kritzler, Mareike Siemens Technol 1936 Univ Ave Berkeley CA 94704 USA Mentor Graph Inc 46871 Bayside Pkwy Fremont CA 94538 USA

Incorporating semantics in modern projects can be time-consuming, rely on limited re-sources, and require expert knowledge to implement in a future-proof manner. Across many working groups and industrial fields, semantics continues to help solve data consolidation challenges;however, there are still emerging situations such as where modeling and ontology engineering efforts overlap, ongoing siloed data, or even continuing to create tech-debt for the future. Tools have been developed and researched that offer users assistance with the automation of select expert tasks to help streamline semantic artifact creation, understanding of design decisions, and domain data alignments. The Semantic knowledge Graph Generator and Recommendation Framework encourage semantic projects that are automated from the start to follow industry standards, enhanced with recommendations, and use components which make semantic artifacts more accessible for non-semantic experts. Based on that tool, this extension article presents several industry use cases and related discussion where semantic recommendations and deployment automation have assisted with project development, teaching about ontology structures, and gaining accessibility of semantic artifacts.

关键词： Semantic project automation semantic recommender ontology recommender semantic knowledge graph semantic recommendation ontology education semantics education semantic decision support ontology accessibility adoption of semantics semantic case study, industry semantics

来源：评论

学校读者我要写书评

暂无评论

Towards an ontology to Represent Domain knowledge of Attention Deficit Hyperactivity Disorder (ADHD): A Conceptual Model

引用

international JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2024年第12期15卷 300-308页

作者： Alsaedi, Shahad Mansour Alsobhi, Aishah Bitar, Hind King Abdulaziz Univ Fac Comp & Informat Technol Jeddah Saudi Arabia

-Attention deficit/hyperactivity disorder (ADHD) represents a highly heterogeneous and complex medical domain with numerous multidisciplinary research areas. Despite the rising number of research on the pathophysiology of ADHD, the available information in the ADHD domain is still scattered and disconnected. This research study mainly aims to develop conceptual model of ADHD by applying knowledge engineering processes to structure the domain knowledge, elucidating key concepts and their interrelationships. The methodology for developing the conceptual model is derived from established practices in ontology construction. It adopts a hybrid approach, integrating principles from prominent methodologies such as ontology development 101, the Uschold and King methodology, and METHontology. The proposed ADHD conceptual model links various aspects of ADHD including subtypes, symptoms, behaviors, diagnostic criteria, treatment, risk factors, comorbidities, and patient profile. Comprising eight top-level classes and highlighting 13 key relationships, it establishes connections between symptoms and recommended treatments, as well as symptoms and their diverse manifestations, risk factors, ADHD subtypes, and potential comorbidities. While the model captures a broad range of ADHD-related concepts, it has certain limitations. It does not extensively address genetic or neurobiological mechanisms, nor does it capture cultural and contextual variations in ADHD manifestations. These limitations highlight opportunities for future expansion, such as incorporating real-world data and diverse demographic contexts. Nevertheless, the model developed in this study is well-suited to serve as a cornerstone for constructing a comprehensive ADHD domain knowledge ontology. Ontologies play a crucial role as layer for transferring knowledge and serve as a foundation for developing advanced systems, such as decision-support tools and expert systems, to enhance ADHD research and clinical practice.

关键词： Keywords Conceptual model ontology ADHD knowledge engineering

来源：评论

学校读者我要写书评

暂无评论

A GUI For OBO Foundry's ROBOT Library To Encourage Usability and Adoption 12

A GUI For OBO Foundry's ROBOT Library To Encourage Usability...

引用

12th IEEE international conference on Healthcare Informatics (IEEE-ICHI)

作者： Liu, Luke Zhang, Yinglun McGinty, Hande Kucuk Amith, Muhammad Univ Washington Seattle WA USA Kansas State Univ Dept Comp Sci Manhattan KS USA Univ Texas Med Branch Dept Biostat & Data Sci Galveston TX 77555 USA

ISBN: (纸本)9798350383744;9798350383737

Since its inception in 2013, OBO ROBOT has become a known ontology development tool to manage and develop new ontologies. OBO ROBOT is available as a command line executable requiring some learning curve to install and use. To provide accessibility for advanced tools to service novice ontology developers, we introduce a GUI frontend for OBO Foundry's ROBOT, a known ontology development tool. Our initial work is available on GitHub and was developed in a cross-platform framework (QT C++) to enable portability across different operating systems. Future work will include enlisting potential users to evaluate accessibility and usability.

关键词： knowledge engineering usability semantic web ontology biomedical informatics

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Enrichment in ontology-based knowledge Management System

Evaluation of Enrichment in Ontology-based Knowledge Managem...

引用

2023 international conference on Smart-Green Technology in Electrical and Information Systems, ICSGTEIS 2023

作者： Dessy Hariyanti, Ni Kadek Linawati, Linawati Made Oka Widyantara, I. Putra Sastra, Nyoman Adisusilo, Anang Kukuh Wayan Budi Sentana, I. Dewa Made Bayu Atmaja Darmawan, I. Universitas Udayana Study Program of Doctoral Engineering Science Indonesia Universitas Udayana Electrical Engineering Department Indonesia Universitas Wijaya Kusuma Surabaya Engineering Department Surabaya Indonesia Macquarie University School of Computing SydneyNSW Australia

ISBN: (纸本)9798350382822

ontology is an organization of knowledge that can represent knowledge in a structured manner. An ontology-based knowledge Management System is a system that combines elements of knowledge management with the application of ontology as a knowledge base. Meanwhile, knowledge is dynamic and continues to develop all the time, giving rise to new knowledge. Therefore, the ontology must be updated regularly through ontology enrichment to meet adequate knowledge requirements. ontology enrichment is carried out to ensure that the ontology remains relevant and responsive to developments in its knowledge domain. However, there are no standard stages in implementing enrichment in ontology-based knowledge Management systems. Therefore, this research conducted a literature review to determine when and how to apply enrichment in ontology development. Data was obtained from related journals in 2018 - 2023. The method used in this research is the Systematic Literature Review method to systematically identify, review, evaluate, and interpret all available research in the area of interest with specific relevant research questions. The research results show that the ontology enrichment procedure generally includes preprocessing stages, relation extraction, and enrichment processes. ontology enrichment is generally applied during the development of a new ontology as part of the ontology development cycle and on existing ontologies, which are a separate stage from the initial ontology development cycle. Based on these findings, the researcher provides recommendations for researchers who want to use or develop new ontology enrichment methods. © 2023 IEEE.

关键词： ontology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：