Towards Evidence-Based Ontology for Supporting Systematic Literature Review
The Lab for Internet Software Technologies Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所互联网软件技术实验室）；Graduate University of Chinese Academy of Sciences（中国科学院研究生院）；National ICT Australia, University of New South Wales（澳大利亚国家信息与通信技术研究院，新南威尔士大学）
Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang
[研究背景]：系统文献综述（Systematic Literature Review，SLR）已成为软件工程的一种重要研究方法。[Aim]本文提出了一种方法，利用经验演变的本体，以支持自动化的关键SLR活动。【方法】：首先，我们提出了一个本体，SLRONT，建立在SLR经验和最佳实践的基础上，以捕捉常见的术语和它们之间的关系在SLR过程中;第二，我们提出了一个扩展版本的SLRONT，COSONT和实例化它的知识和概念提取结构化摘要。案例研究说明了应用它来支持SLR步骤的细节。【结果】：结果表明，通过使用COSONT，我们得到了相同的结论，与纯粹的手工工作相比，但所涉及的工作量显着减少。[结论]利用本体论的方法可以有效地支持系统性文献综述的开展。
英文摘要：
[Background]: Systematic Literature Review (SLR) has become an important software engineering research method but costs tremendous efforts. [Aim]: This paper proposes an approach to leverage on empirically evolved ontology to support automating key SLR activities. [Method]: First, we propose an ontology, SLRONT, built on SLR experiences and best practices as a groundwork to capture common terminologies and their relationships during SLR processes; second, we present an extended version of SLRONT, the COSONT and instantiate it with the knowledge and concepts extracted from structured abstracts. Case studies illustrate the details of applying it for supporting SLR steps. [Results]: Results show that through using COSONT, we acquire the same conclusion compared with sheer manual works, but the efforts involved is significantly reduced. [Conclusions]: The approach of using ontology could effectively and efficiently support the conducting of systematic literature review.
Supporting Risk Management for Medical Devices via the Riskman Ontology and Shapes (Preprint)
Faculty of Computer Science, TU Dresden, Germany（德累斯顿理工大学计算机科学学院）；Department of Medicine 1, University Hospital Dresden, TU Dresden, Germany（德累斯顿大学第一医学部）；ScaDS.AI Center for Scalable Data Analytics（可扩展数据与人工智能分析中心）；Centre for Tactile Internet with Human-in-the-Loop (CeTI), Dresden, Germany（人机协同触觉互联网中心）
Supporting Cybersecurity Risk Management for Medical Devices via the SECUMAN Ontology and Shapes
Faculty of Computer Science, TU Dresden（德累斯顿工业大学计算机学院）；Else Kröner Fresenius Center for Digital Health（Else Kröner Fresenius数字健康中心）；secunet Security Networks AG（secunet安全网络股份公司）
University of Bologna（博洛尼亚大学）；Institute of Cognitive Sciences and Technologies, National Research Council（国家研究委员会认知科学与技术研究所）
Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. However, current practices are often motivated by subjective, case-by-case decisions, which hamper the definition of a recommended behaviour. In this chapter we argue that to date there are no effective solutions for supporting developers' decision-making process when deciding on an ontology reuse strategy. The objective is twofold: (i) to survey current approaches to ontology reuse, presenting motivations, strategies,…
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
McGill University（麦吉尔大学）；University of California, Berkeley（加州大学伯克利分校）；Desautels Faculty of Management, McGill University（麦吉尔大学德索泰尔管理学院）；McGill Center for the Convergence in Health and Economics (MCCHE)（麦吉尔健康与经济融合中心）；Department of Epidemiology and Biostatistics, McGill University（麦吉尔大学流行病学与生物统计学系）
Warsaw University of Technology（华沙理工大学）；Systems Research Institute, Polish Academy of Sciences（波兰科学院系统研究所）；University of Craiova（克拉约瓦大学）
Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem. In this work, the quality of thirty biomedical ontologies, and the Computer Science Ontology are investigated, from the perspective of a practical use case. Special scrutiny is given to cross-ontology references, which are vital for combining ontologies. Diverse methods to detect potential issues are proposed, including natural language processing and network…
Centro de Tecnología Biomédica（生物医学技术中心）；Universidad Politécnica de Madrid（马德里理工大学）
There is a large number of online documents data sources available nowadays. The lack of structure and the differences between formats are the main difficulties to automatically extract information from them, which also has a negative impact on its use and reuse. In the biomedical domain, the DISNET platform emerged to provide researchers with a resource to obtain information in the scope of human disease networks by means of large-scale heterogeneous sources. Specifically in this domain, it is critical to offer not only the information extracted from different sources, but also the evidence t…
Institute of Cognitive Sciences and Technologies, Italian National Research Council (ISTC-CNR)（意大利国家研究委员会认知科学与技术研究所）；University of Bologna（博洛尼亚大学）
We present the Frame-based ontology Design Outlet (FrODO), a novel method and tool for drafting ontologies from competency questions automatically. Competency questions are expressed as natural language and are a common solution for representing requirements in a number of agile ontology engineering methodologies, such as the eXtreme Design (XD) or SAMOD. FrODO builds on top of FRED. In fact, it leverages the frame semantics for drawing domain-relevant boundaries around the RDF produced by FRED from a competency question, thus drafting domain ontologies. We carried out a user-based study for a…
SSBD Ontology: A Two-Tier Approach for Interoperable Bioimaging Metadata
RIKEN Information R&D and Strategy Headquarters（日本理化学研究所信息研发与战略本部）；RIKEN Bioresource Research Center（日本理化学研究所生物资源研究中心）；RIKEN Center for Biosystems Dynamics Research（日本理化学研究所生物系统动力学研究中心）
University of Bologna（博洛尼亚大学）；Central Institute for Cataloguing and Documentation（中央编目与文献研究所）；Ministry of Cultural Heritage and Activities（文化遗产与活动部）；Institute of Cognitive Sciences and Technologies（认知科学与技术研究所）；Italian National Research Council（意大利国家研究委员会）
Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs are shared as well as ontology design methodologies recommending their reuse. Performing rigorous testing is recommended as well for supporting ontology maintenance and validating the resulting resource against its motivating requirements. Nevertheless, it is less than straightforward to find guidelines on how to apply such methodologies for developing domain-specific knowledge graphs. ArCo is the knowledge graph of…
Documentation Research and Training Centre, Indian Statistical Institute（印度统计研究所文献研究与培训中心）；Department of Library and Information Science, Calcutta University（加尔各答大学图书馆与信息科学系）
The major objective of this work is to study and report the existing ontology-driven models for narrative information. The paper aims to analyze these models across various domains. The goal of this work is to bring the relevant literature, and ontology models under one umbrella, and perform a parametric comparative study. A systematic literature review methodology was adopted for an extensive literature selection. A random stratified sampling technique was used to select the models from the literature. The findings explicate a comparative view of the narrative models across domains. The diffe…
Ontology-based knowledge representation for bone disease diagnosis: a foundation for safe and sustainable medical artificial intelligence systems
University of Science, VNUHCM（胡志明市国家大学科学大学）；Viet Nam National University, Ho Chi Minh City（越南国家大学胡志明市分校）；Ho Chi Minh City Hospital for Traumatology and Orthopedics（胡志明市创伤与骨科医院）
WiseOWL: A Methodology for Evaluating Ontological Descriptiveness and Semantic Correctness for Ontology Reuse and Ontology Recommendations
Department of Computer Science（计算机科学系）；Kansas State University（堪萨斯州立大学）；National Center for Ontological Research (NCOR)（本体研究国家中心（NCOR））；University at Buffalo（布法罗大学）；University of Texas MD Anderson Cancer Center（德克萨斯大学MD安德森癌症中心）；The University of Texas System（德克萨斯大学系统）
An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
Harvard University（哈佛大学）；Forome Association（Forome协会）；IDEXX Laboratories（爱德士实验室）；Russian School of Mathematics（俄罗斯数学学校）；Lexington High School（列克星敦高中）；Park Hill South High School（帕克希尔南高中）；Brookline High School（布鲁克莱恩高中）
OntoChat: a Framework for Conversational Ontology Engineering using Language Models
King’s College London（伦敦国王学院）；Cefriel – Politecnico di Milano（Cefriel - 米兰理工大学）；Vienna University of Economics and Business（维也纳经济大学）；Universidad Politécnica de Madrid（马德里理工大学）
针对大型项目中多方交互导致的本体工程需求获取歧义与人工依赖问题，提出对话式本体工程框架OntoChat，支持需求获取、分析和测试，通过对话代理辅助用户故事创建、胜任力问题提取及早期本体测试，并在Music Meta Ontology复制实验中验证了有效性。
University of Maryland, Baltimore County（马里兰大学巴尔的摩郡分校）；United States Army Research Laboratory（美国陆军研究实验室）
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share information, and be resilient to adversary attacks in contested multi-domain operations. CAPD addresses this problem by providing a context-aware, policy-driven framework supporting data and knowledge exchange among autonomous entities in a battlespace. We propose an IoBT ontology that facilitates controlled information sharing to enable semantic interopera…
University at Buffalo（布法罗大学）；National Center for Ontological Research（国家本体研究中心）；Institute for Artificial Intelligence and Data Science（人工智能与数据科学研究所）；Alabama Commission on Higher Education（阿拉巴马州高等教育委员会）；University of Michigan Medical School（密歇根大学医学院）；University of Florida（佛罗里达大学）；Medical College of Wisconsin（威斯康星医学院）
Division of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College（北京师范大学-香港浸会大学联合国际学院科技学部）
In this paper, we proposed a transfer learning-based English language learning chatbot, whose output generated by GPT-2 can be explained by corresponding ontology graph rooted by fine-tuning dataset. We design three levels for systematically English learning, including phonetics level for speech recognition and pronunciation correction, semantic level for specific domain conversation, and the simulation of free-style conversation in English - the highest level of language chatbot communication as free-style conversation agent. For academic contribution, we implement the ontology graph to expla…
Policies are authoritative assets that are present in multiple domains to support decision-making. They describe what actions are allowed or recommended when domain entities and their attributes satisfy certain criteria. It is common to find policies that contain geographical rules, including distance and containment relationships among named locations. These locations' polygons can often be found encoded in geospatial datasets. We present an approach to transform data from geospatial datasets into Linked Data using the OWL, PROV-O, and GeoSPARQL standards, and to leverage this representation …
Ontology-aligned structuring and reuse of multimodal materials data and workflows towards automatic reproduction
Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum（波鸿鲁尔大学先进材料模拟跨学科中心）；Max Planck Institute for Sustainable Materials（马克斯·普朗克可持续材料研究所）；BAM Federal Institute for Materials Research and Testing（BAM联邦材料研究与测试研究所）
AI Directorate Fermilab（AI部门费米实验室）；Biocomplexity Institute University of Virginia（生物复杂性研究所弗吉尼亚大学）；CS Dept University of Wisconsin-Madison（计算机科学系威斯康星大学麦迪逊分校）；Discovery Partners Institute University of Illinois Urbana-Champaign（发现伙伴研究所伊利诺伊大学厄巴纳-香槟分校）；Biocomplexity Institute（生物复杂性研究所）
From Ethical Declarations to Provable Independence: An Ontology-Driven Optimal-Transport Framework for Certifiably Fair AI Systems
Senior Scientist, Trustworthy AI, Luxembourg Institute of Science \& Technology, Maison de l'innovation 5, L-4362, Luxembourg Chief Investment Risk Strategist for Sovereign Institutions Founder, RsRL, Jumeirah Beach Residence (JBR), P.O.Box 29215, Dubai, United Arab Emirates
OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
TIB Leibniz Information Centre for Science and Technology（莱布尼茨科学与技术信息中心）；L3S Research Center, Leibniz University of Hannover（汉诺威莱布尼茨大学L3S研究中心）；Graphwise；University of Tabriz（大不里士大学）
