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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： Chatterjee, Ayan Dept. of Digital Technology STIFTELSEN NILU Kjeller2007 Norway

ISBN: (纸本)9789897587160

Personalized approaches are required for asthma management due to the variability in symptoms, triggers, and patient characteristics. An innovative asthma recommendation system that integrates automatic predictive analysis with semantic knowledge to provide personalized recommendations for asthma management is proposed by this paper. Asthma exacerbation are predicted and the recommendations are enhanced by the system, which leverages automatic Tree-based Pipeline Optimization Tool (TPOT) and semantic knowledge represented in an OWL ontology (AsthmaOnto). Furthermore, classifications are explained with Local Interpretable Model-Agnostic Explanations (LIME) to identify feature importance. Tailored interventions based on individual patient profiles are provided by this conceptual model, aiming to improve asthma management. The proposed model has been verified using public asthma datasets, and a public weather air-quality dataset has been utilized to support ontology development and verification. In TPOT, the Gaussian Naive Bayes (GaussianNB) classifier has outperformed other supervised machine learning models with an accuracy of 0.75, for the used dataset. To implement and evaluate the proposed model in clinical settings, further development and validation with more diverse and robust datasets with model calibration are required. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Recommender systems

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Towards a Digital Ocean ontology using the OApIS approach 30

Towards a Digital Ocean Ontology using the OApIS approach

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30th IEEE international conference on engineering, Technology, and Innovation

作者： Duarte, Francisco J. Silva, Leopoldo O. Dias, Bruno Pereira, Tiago F. Machado, Ricardo J. Univ Minho ALGORITMI Res Ctr Braga Portugal Univ Minho CCG ZGDV Inst Guimaraes Portugal

ISBN: (纸本)9798350362442;9798350362435

Improved knowledge of the ocean is fundamental to anticipate environmental disasters and control human activity's impact on climate and biodiversity. The current efforts to digitize the ocean through sensors and monitoring systems allows for the implementation of digital twin technology, as a means to realize a multitude of benefits, such as overfishing reduction and prevention, marine pollution prediction, climate change adaptation and marine spatial planning promotion. Therefore, our research group intended to present a scientific contribute to the development of Ocean digital twins sphere of knowledge. However, as we came to understand, during our state-of-the art review, the application of the digital twin technology for such purposes remains largely unexplored and unrealized, with only one notable european ongoing project. The lack of scientific basis in the domain shifted our focus towards the development of a Digital Ocean ontology, capable of sustaining future advancements in ocean digital twins implementation. In order to derive a Digital Ocean ontology, we employed the OAPiS approach, a data-driven methodology. The application of the method resulted in a terminology catalog with 109 terms, 27 entities and 82 properties from which we derived a Digital Ocean ontology with 16 high level entities, which is presented as this work's contribution.

关键词： ontology Digital Ocean Digital twins

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Supervised Machine Learning Models and Schema Matching Techniques for ontology Alignment 16

Supervised Machine Learning Models and Schema Matching Techn...

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作者： Abbassi, Faten Hlaoui, Yousra Bendaly LIPSIC Laboratory University of Tunis El Manar Faculty of Sciences of Tunis El Manar Tunisia

ISBN: (纸本)9789897587160

The diversity of existing representations of the same ontology creates a problem of manipulation of the same knowledge according to any computational domain. Unifying similar ontologies by reducing their degree of heterogeneity seems to be the appropriate solution to this problem. This solution consists of aligning similar ontologies using a set of existing ontology schema-matching techniques. In this paper, we present an approach for ontology alignment based on these techniques and machine learning models. To do so, we have developed a matrix construction method based on ontology matching techniques, namely element matching techniques and structure matching techniques implemented by elementary matchers. Once the matrix is constructed, we apply a composite matcher, which is a classifier to combine the individual degrees of similarity calculated for each pair of ontology elements into a final aggregated similarity value between the two ontologies. This composite matcher is implemented via various supervised machine learning models such as LogisticRegression, GradientBoostingClassifier, GaussianNB and KNeighborsClassifier. To experiment our alignment method and to validate the used learning models, we used the reference ontologies and their alignments for the conference and benchmark tracks provided by the ontology Alignment Evaluation Initiative (OAEI a). © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Self-supervised learning

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On the Roles of Competency Questions in ontology engineering 24th

On the Roles of Competency Questions in Ontology Engineer...

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24th international conference on knowledge engineering and knowledge Management, EKAW 2024

作者： Keet, C. Maria Khan, Zubeida Casmod Department of Computer Science University of Cape Town Cape Town South Africa Council for Scientific and Industrial Research Pretoria South Africa

ISBN: (纸本)9783031777912

Competency Questions (CQs) are not merely intended for scoping the prospective content of an ontology and as information-seeking queries posed over an ontology, but serve manifold purposes in the ontology engineering processes. This position paper argues that CQs should be viewed as complex acts with underlying motivations beyond just eliciting facts. We explore the concept of questions in general, drawing on philosophical and logical perspectives to highlight the complexity of questions and how they function beyond information seeking. This understanding is applied to CQs for ontologies, revealing how they can serve various purposes in ontology development, such as knowledge acquisition, knowledge organisation, and validation. The paper also introduces the notion of types of CQs for ontology engineering and a first taxonomy of CQ types. Having identified different types of CQs, it may assist research into devising more specific methods and tools to support the development of CQs—be it manual authoring or automating it—and their use at various stages and tasks in ontology engineering, as well as contribute to a notion of quality of a CQ. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： ontology

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Deciphering Cyber-Security Certifications: An Ontological Journey through Composite Systems and their certification 30

Deciphering Cyber-Security Certifications: An Ontological Jo...

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30th IEEE international conference on engineering, Technology, and Innovation

作者： Cosic, Jasmin Jukan, Admir DEKRA SE Dept Inform & Cyber Secur Cyber R&D Team Stuttgart Germany AEGIS IT Res GmbH Dept Res & Dev Braunschweig Germany

ISBN: (纸本)9798350362442;9798350362435

As cyber-physical systems become increasingly interconnected and complex, ensuring their cyber security becomes paramount. Composite systems, comprised of multiple interconnected components, present unique challenges for cyber security certification due to their dynamic nature and diverse elements and used technologies. This paper proposes the development of an ontology specifically tailored for the cyber security certification of composite systems. Ontologies provide a structured framework for representing knowledge, allowing for semantic interoperability and in future automated reasoning. This ontology also aims to capture the intricate relationships between components, vulnerabilities, threats, and security controls within composite systems. Multi-layered approach employed, encompassing both technical and organizational aspects of cyber security, comprehensively address certification requirements. Also, we discuss the practical implications of proposed ontology in streamlining certification procedures, enhancing risk management, and promoting trustworthiness in composite systems. Through this work, we strive to contribute to the advancement of cyber security certification practices, EU regulation in the context of evolving composite systems (EU Common Criteria Framework).

关键词： Cybersecurity certification semantic ontology knowledge representation composite systems formalization

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On the Use of Ontologies for Defining, Generating and Exploring the Resulting Simulations of Application Level Protocols 16

On the Use of Ontologies for Defining, Generating and Explor...

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作者： Kokar, Mieczyslaw M. Moskal, Jakub J. Department of Electrical and Computer Engineering Northeastern University 360 Huntington Avenue Boston United States VIStology Inc. MashpeeMA United States

ISBN: (纸本)9789897587160

This paper presents a simulator generator designed to aid in the development of domain-specific protocols that enable semantic communication, where messages include annotations specifying the meaning of individual fields. Furthermore, the field types are dynamic, meaning they are incorporated into messages based on the domain’s underlying ontology. To experiment with such domain-specific semantic protocols, designers require data for protocol evaluation. Simulation is a common solution to this need. Simulations are produced by simulators—software systems that take inputs and generate results. For typical applications, generic simulators are often available. This paper introduces a system, named dg, that generates simulators for semantic communication protocol designers, based on specifications (inputs and constraints) provided in an ontology. Additionally, we demonstrate how the same ontology can be used to explore simulation results. Finally, since our approach involves policies that account for information uncertainty in both simulator implementation and result querying, we propose initiating an effort to develop an uncertainty-related extension to the SPARQL query language. © 2024 by Paper published under CC license (CC BY-NC-ND 4.0).

关键词： Structured Query Language

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knowledge transfer in Digital Twins: The methodology to develop Cognitive Digital Twins

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CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY 2024年 52卷 366-385页

作者： D'Amico, Rosario Davide Sarkar, Arkopaul Karray, Mohamed Hedi Addepalli, Sri Erkoyuncu, John Ahmet Cranfield Univ CDEM Cranfield England Univ Technol Tarbes LGP UTTOP Tarbes France

In the realm of Digital Twins (DTs), industry experts have emphasised the pivotal concept of the Federation of Twins, envisioning seamless collaboration across sectors driven by shared semantics. In response to this challenge, the Cognitive Digital Twin (CDT) integrates the DT framework with formal semantics, specifically ontologies. This paper introduces a comprehensive five-step methodology for CDT development. Furthermore, it becomes possible to incorporate human expertise into the DT ecosystem by adopting an ontological approach. The CDT enhances DT services with advanced reasoning capabilities, leading to a profound semantic enrichment of the data. The presented methodology has been validated using a use case where the CDT is employed to detect malfunctions, significantly reducing manual intervention. This paper advocates for the adoption of CDTs, which represent a harmonious fusion of formal semantics and human expertise, enhancing system efficiency and operational performance.

关键词： Basic Formal ontology (BFO) Common Core ontology (CCO) Connected Digital Twins Digital Twin Industrial ontology Foundry (IOF) knowledge Graph Semantics Top -Level ontology

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An ontology-driven framework for digital transformation and performance assessment of building materials

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BUILDING AND ENVIRONMENT 2025年 271卷

作者： Kaltenegger, Julia Frandsen, Kirstine Meyer Petrova, Ekaterina Eindhoven Univ Technol Dept Built Environm Den Dolech 2 Eindhoven Netherlands Aalborg Univ Dept Built Environm Thomas Manns Vej 23 Aalborg Denmark

Material Information Modelling (MIM) is a cornerstone of Building Performance Simulation (BPS). However, defining and exchanging data between building modelling and simulation tools is cumbersome due to notable deficiencies in the granularity of material information descriptions. The inadequacies in the data models and exchanges lead to faulty interpretations of material properties in building performance assessment. The material science domain strives to advance material research and expedite the market readiness of novel materials through intricate data modelling, performance computations, and interdisciplinary communication channels. In addition to the latter, adopting the Findable, Accessible, Interoperable, and Reusable principles holds significant potential in promoting accurate MIM within Architecture, engineering and Construction. This study introduces an ontology-driven framework leveraging Semantic Web technologies and Linked Data to support MIM in the context of Building Information Modelling and BPS. The framework implementation is demonstrated in a webbased application that enables the dynamic assessment and benchmarking of building materials based on the Guggenheim, Anderson and de Boer model and thermal resistance computations. The development of the framework relies on ontology engineering principles to represent domain knowledge in a Building Material Performance ontology, as well as Systems engineering coupled with test-driven development for requirement engineering, system design, implementation, and validation. The results include a novel MIM data model enabling material classification and property definitions in alignment with international standards. The implementation validates and assesses the logic of the proposed data model and software application by conducting hygric and thermal performance assessments applied on case studies.

关键词： Material information modelling Building information modelling Material classification Semantic web Ontologies

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Towards Developing an ontology for a Digital Twin in Battery Testing 16

Towards Developing an Ontology for a Digital Twin in Battery...

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作者： Marques, Nuno Rodrigues, Marco Himanshu, Mannin Gandoman, Foad INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering Porto Portugal RSTER - Reliability & Safety Technical Centre Brussels Belgium

ISBN: (纸本)9789897587160

Ontologies are of great importance in organizing and structuring domain knowledge towards interoperability and data integration in various fields, as provide a standarised vocabulary and a formal representation of relationships between concepts, which is essential for advancing data-driven applications. This paper presents the development of an OWL (Web ontology Language) ontology for the battery testing field, creating the foundations for the development of a Digital Twin that will virtualize tests to be performed on battery cells and modules. It emphasizes the significance of the battery domain characterization and ontology definition as critical components in developing an effective Digital Twin for battery testing. An investigation of prior studies available in the literature was conducted, highlighting examples of ontologies such as SSN (Semantic Sensor Network) and SOSA (Sensor, Observation, Sample, and Actuator), which targets integration into the digital twin environments to enhance sensor data management and interoperability. The research also found hybrid ontologies, combining elements from existing ones and battery-specific Digital Twin architectures. The developed ontology was validated through a practical use-case by integration with cloud platform Microsoft Azure Digital Twins, converting the ontology from OWL to DTDL (Digital Twins Definition Language). This step completes the cycle as the proposed framework aims to create a robust and scalable Digital Twin environment that can be adapted to various battery testing scenarios, providing actionable insights from tests. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Information management

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ICAIW 2024 - Joint Proceedings of the 7th international conference on Applied Informatics Workshops: 5th international Workshop on Applied Artificial Intelligence, WAAI 2024, 6th international Workshop on Applied Informatics for Economy, Society, and development, AIESD 2024, 6th international Workshop on Data engineering and Analytics, WDEA 2024, 3rd international Workshop on Intelligent Transportation Systems and Smart Mobility Technology, WITS 2024, 4th international Workshop on knowledge Mana

ICAIW 2024 - Joint Proceedings of the 7th International Conf...

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Joint of the 7th international conference on Applied Informatics Workshops, ICAIW 2024

The proceedings contain 28 papers. The topics discussed include: analysis of the relationship between productivity and the work environment in Ecuador by 2022;complex networks as a methodology for social studies: the case of ‘Son de Amores’;evaluation by an expert panel of agroecological practices in olive groves from an environmental, economic and technical feasibility perspective;export destination and firm performance: the case of Ecuador and the United States;georeferencing of savings banks and their role in financial inclusion in the Salinas Canton;GIS application for groundwater information processing and sustainable use in rural communities;media competencies and social development: a systematic review;and the processes of real estate expropriation and the fair price: case of the decentralized autonomous government of the Municipality of Ambato.

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