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检索条件"任意字段=International Conference on Knowledge Engineering and Ontology Development"

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PROPOSAL FOR ORGANIZING AND UNDERSTANDING DECOMMISSIONING INFORMATION USING TASK ontology 31

PROPOSAL FOR ORGANIZING AND UNDERSTANDING DECOMMISSIONING IN...

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31st international conference on Nuclear engineering (ICONE) - 24/7 Clean Nuclear Energy - Solution for Global Warming

作者： Taruta, Yasuyoshi Iguchi, Yukihiro Kawasaki, Daisuke Yanagihara, Satoshi Tomoda, Koichi Univ Fukui Fukui Japan Japan Atom Energy Agcy Fukui Japan Apan Atom Energy Agcy Fukui Japan

ISBN: (纸本)9780791888285

In this study, we propose a hierarchical framework using task ontology, which is used in information science and information engineering, to organize decommissioning information. As background, decommissioning of nuclear facilities generally takes a long time, so it is important to accumulate information and utilize it. In decommissioning, the operator creates a plan using facility information during construction, subsequent renovations, and contamination distribution and evaluation during operation, and conducts decontamination, demolition, waste management, and waste delivery. It may also include restoring the land on which it was installed to its original condition. In addition, there are several implementation policies for this decommissioning: cases where the operating entity hands over the decommissioning to the decommissioning company, and cases where the operating entity directly carries out the decommissioning. Decommissioning is being carried out in each country and by various organizations, and various knowledge and lessons are being created every day. It is important to utilize these findings. On the other hand, it can be said that it is difficult to simply utilize it in other organizations due to different laws and regulations and different organizational management policies. It is necessary to appropriately utilize precedent cases and information on lessons learned. Therefore, in this study, we introduce the concept of ontology to decommissioning and propose a conceptual model from the perspective of plant information management and knowledge management. ontology has guidelines for understanding objects without using language, and is a conceptual structure of knowledge. Previous studies and reports have referred to the importance of ontology in decommissioning, but it cannot be said that its structure and relationships with other ontologies have been specified. In this study, we propose a structural organization using task ontology as a guideline for i

关键词： decommissioning ontology task ontology YAMATO knowledge management

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An LLM supported approach to ontology and knowledge graph construction

An LLM supported approach to ontology and knowledge graph co...

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2024 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Yang, Hang Xiao, Liang Zhu, Rujun Liu, Ziji Chen, Jianxia Hubei University of Technology School of Computer Science Wuhan China

ISBN: (纸本)9798350386226

The continuous development in the medical field faces multiple challenges in managing a large amount of literature and research results using traditional ontology and knowledge graph construction methods. These challenges include high labor costs, limited coverage, and poor dynamism of traditional ontology and knowledge graph construction methods. Large language models (LLMs) can solve various natural language processing tasks and can understand and generate human-like natural language, which makes automated construction of ontology expansion and knowledge graphs (KGs) possible. This paper proposes an ontology expansion method based on LLMs, using LLMs to formulate competency questions (CQs) to extend the initial ontology, and then constructing the knowledge graph based on the extended ontology. We demonstrated the feasibility of the method by creating a knowledge graph for breast cancer treatment. The combination of LLMs-based medical ontology and knowledge graph can achieve more efficient medical knowledge management and application, promoting the informatization and intelligent development of the medical field. © 2024 IEEE.

关键词： knowledge graph

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An Architectural Methodology for Developing Domain ontology for Efficient knowledge Management for AI Systems 1

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8th international conference on Inventive Communication and Computational Technologies, ICICCT 2024

作者： Gulzar, Zameer Almahri, Fatima Amer Jid Ramesh Babu, A. Padmavathy, P. MIE-SPPU Institute of Higher Education Doha Qatar SR University Warangal Warangal India University of Technology and Applied Sciences Salalah Oman BSAR Cresent Institute of Science and Technology Chennai India

ISBN: (数字)9789819777105

ISBN: (纸本)9789819777099

In the context of artificial intelligence (AI) and knowledge representation, ontology is especially important for organizing and presenting domain-specific knowledge. The study highlights how important it is to have a thorough understanding of domain material in order for AI systems to work well. The aim of this research is to offer a clear, organized architectural technique for developing domain ontology in the ever-evolving domains of knowledge management and information technology. The main objective is to tackle issues with ontology engineering, scalability, and adaptability in the contemporary knowledge-driven period. The suggested approach deviates from conventional ontology construction techniques by embracing a collaborative, modular, and extensible paradigm. There are five steps in the process, and each one is regulated by particular guidelines and regulations designed to ensure effective ontology engineering. This work offers a novel architectural approach to the construction of ontology, filling a vacuum in the literature by providing a systematic way to create new ontology or reuse preexisting ones. The process speeds up the creation of ontology, allowing programmers to concentrate on the connections between ideas and objects inside a domain. The study effectively implements the recommended methods to develop a controlled vocabulary and computer science ontology that are specifically suited for a course recommendation system by AI systems. The results show that the suggested method covers about 95% of the problems in ontology development. The study makes a significant contribution to society by encouraging effective ontology development, which is essential for the advancement of knowledge management and AI. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Domain knowledge

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Multidimensional knowledge Graph Embeddings for international Trade Flow Analysis 16

Multidimensional Knowledge Graph Embeddings for Internationa...

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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： Nandini, Durgesh Blöthner, Simon Schoenfeld, Mirco Larch, Mario University of Bayreuth Bayreuth Germany

ISBN: (纸本)9789897587160

Understanding the complex dynamics of high-dimensional, contingent, and strongly nonlinear economic data, often shaped by multiplicative processes, poses significant challenges for traditional regression methods as such methods offer limited capacity to capture the structural changes they feature. To address this, we propose leveraging the potential of knowledge graph embeddings for economic trade data, in particular, to predict international trade relationships. We implement KonecoKG, a knowledge graph representation of economic trade data with multidimensional relationships using SDM-RDFizer and transform the relationships into a knowledge graph embedding using AmpliGraph. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： knowledge graph

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A Methodology for knowledge Integration and Acquisition in Model-Based Systems engineering 15

A Methodology for Knowledge Integration and Acquisition in M...

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15th international conference on knowledge engineering and ontology development, KEOD 2023 as part of the 15th international Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2023

作者： Medinacelli, Luis Palacios Noyrit, Florian Mraidha, Chokri Université Paris-Saclay CEA List. Palaiseau France

ISBN: (纸本)9789897586712

In Model-Based System engineering (MBSE) systems are represented as models using a predefined metalanguage such as SysML that hides some of the complexity behind the specification of a system, and provides experts with a rich syntax to define, share and constrain these models. Even though current MBSE design tools are sophisticated and support expressive meta-languages, these tools have limited capabilities on the detection of semantic errors, the integration of expert knowledge, or the ability to formalize the knowledge from the expert’s design. Our work addresses these limitations by annotating the SysML models with domain-specific ontologies. Enabling this interaction not only makes the ontology’s semantics available to the tooling environment, but the UML model specified by the designer can be translated into ontology Web Language format (OWL), generating a system specification in terms of the ontology. These"annotated models" are suitable for reasoning tasks, like consistency check and instance checking. We particularly ensure the annotated model is a consistent extension of the domain-specific ontology, thus formalizing the expert’s knowledge as a sub-ontology. This extended ontology can be re-used and shared to evaluate and constrain further models, or be itself evaluated by semantic-compatible tools. In this article we present our approach for an OWL-MBSE integration, and show its feasibility via an implementation in the UAVs domain. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： ontology

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development of a Method for Automatic Extraction of ontology Entity Names from Natural Language Texts 9

Development of a Method for Automatic Extraction of Ontology...

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9th international conference on Computer Science and engineering, UBMK 2024

作者： Zhanna, Sadirmekova Daiyrbayeva, Elmira Indira, Karbozova Samat, Bekbolatov M. Kh. Dulaty Taraz Regional University Taraz Kazakhstan Inst. of Information and Computational Technologies The Committee of Science of the Ministry of Science and Higher Educ. of the Rep. of Kazakhstan Almaty Kazakhstan Satbayev University Almaty Kazakhstan International Taraz Innovation Institute named after Sh. Murtaza Taraz Kazakhstan

ISBN: (纸本)9798350365887

Domain ontologies play a crucial role in organizing, sharing, and reusing domain-specific knowledge within software systems. However, developing a software ontology is a time-consuming and complex process. To create such an ontology, a large number of relevant publications must be analyzed. This task of enriching the ontology with data from these sources can be streamlined and accelerated through the use of lexical and syntactic patterns derived from ontological design. This paper presents a method for the automated construction of ontologies within a scientific domain, leveraging a system of heterogeneous ontological design patterns (ODPs). This system includes ODPs tailored for ontology developers and automatically generated lexical and syntactic patterns, which can be used to enrich ontologies with information extracted from natural language texts. © 2024 IEEE.

关键词： Domain knowledge

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An ontology-Based Question-Answering, from Natural Language to SPARQL Query 15

An Ontology-Based Question-Answering, from Natural Language ...

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作者： Varagnolo, Davide Melo, Dora Rodrigues, Irene Pimenta Department of Informatics University of Évora Évora Portugal Polytechnic of Coimbra Coimbra Business School - ISCAC Coimbra Portugal NOVA Laboratory for Computer Science and Informatics NOVA LINCS Caparica Portugal

ISBN: (纸本)9789897586712

In this paper an ontology-based Question-Answering system for exploring the information on CIDOC-CRM ontology representing the Portuguese Archives metadata text descriptions is presented. The proposed approach transforms the natural language input question into a SPARQL query over the target knowledge base, the Portuguese Archives CIDO-CRM Population. To interpret the useŕs natural language questions, a pipeline with a natural language grammar, Stanza, a Discourse Representation Structure builder and the final question interpretation on a Query ontology is used. After obtaining the best representation of the user question on the Query ontology, the query constraints classes and properties are translated to CIDOC-CRM ontology and a SPARQL query is generated. The matching of the questions DRS on the query ontology is done as a constraint satisfaction problem and the choice of the best interpretation (matching) is obtained by solving a multi-objective optimizer. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： ontology

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A Data Mesh Adaptable Oil and Gas ontology Based on Open Subsurface Data Universe (OSDU) 15

A Data Mesh Adaptable Oil and Gas Ontology Based on Open Sub...

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作者： Abolhassani, Neda Tudor, Ana Paul, Sanjoy Accenture Labs 415 Mission St Floor 35 San FranciscoCA94105 United States

ISBN: (纸本)9789897586712

Incompatible models, heterogeneous data, and siloed data present challenges for the Oil & Gas industry. knowledge graphs provide efficient consolidation, improved quality, and universal access to data, addressing these challenges. Developed by major global Oil & Gas and cloud organizations, the Open Subsurface Data Universe (OSDU) platform provides subsurface energy data ingestion, enrichment, and consumption services, as well as metadata storage, indexing, and search services. OSDU data supply chain aligns with the main concepts of the new trending data architecture, Data Mesh, such as federated data governance, decoupling data from applications, and domain specific data products. Data integration in subsurface data industry can be achieved by building a domain knowledge graph based on standard and enriched OSDU framework schemas. A knowledge graph-based solution begins with building a domain ontology. The purpose of this article is to introduce the OSDU ontology, which is publicly available on GitHub under the Apache 2.0 license. This paper discusses OSDU ontology design, development, applications, and evaluation. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： Graphic methods

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Multimodal knowledge Graph-Enabled Steel Product development 27

Multimodal Knowledge Graph-Enabled Steel Product Development

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27th international conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Peng, Gongzhuang Wang, Ningyi Zhang, Xuejun Xu, Dong Univ Sci & Technol Beijing Natl Engn Res Ctr Adv Rolling & Intelligent Mfg Beijing 100083 Peoples R China

ISBN: (纸本)9798350349184;9798350349191

The development of industrial Internet and artificial intelligence technologies has accelerated the development of material products. However, decision-making activities in product development are knowledge-intensive and the reusing of knowledge is worthy of studying. In this work, an industrial internet platform is developed to obtain multi-source data from the information systems in steel industry. To mine heterogeneous development knowledge from the tabular data, time series data, pictorial data and textual data, algorithms such as association rule analysis are applied. Metallurgical mechanism knowledge and process knowledge are fused to construct the multimodal knowledge graph through contextual association and ontology modelling. Subgraph matching-based knowledge graph retrieval and reinforcement learning-based knowledge graph reasoning are proposed to efficiently reuse the knowledge in the development of steel products. Practical application validates the effectiveness of the proposed approach in making quick decisions and accelerating the progress of product development.

关键词： knowledge graph product development knowledge retrieval knowledge reasoning

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An ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems 1

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36th international conference on Advanced Information Systems engineering (CAiSE)

作者： Laurenzi, Emanuele Allan, James Campos, Nathalie Stoller, Sascha FHNW Univ Appl Sci Northwestern Switzerland Riggenbachstr 16 CH-4600 Olten Switzerland Empa Urban Energy Syst Lab Uberlandstr 129 CH-8600 Dubendorf Switzerland

ISBN: (数字)9783031610035

ISBN: (纸本)9783031610028;9783031610035

The increase in smart buildings has led to an increase in data produced and consumed by buildings. Despite growing digitalisation trends, data interoperability, data quality, and a lack of transparency hinder the development of scalable energy applications. knowledge graphs alleviate some of these challenges through their ability to integrate and analyse diverse data sources. Despite these benefits, knowledge graphs require specific skills typically uncommon in building and energy system engineers. This work tackles this challenge by enabling system engineers to create and maintain knowledge graphs about BMS by dealing with visual diagrammatical models they are familiar with. For this, we built on the ontology-based meta-modelling approach and created a proof-of-concept AOAME4BMS, in which we implemented a BMS and used it for evaluation purposes.

关键词： ontology-based meta-modeling semantic-driven building management systems AOAME4BMS

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