Article
Computer Science, Artificial Intelligence
Yasser Maatouk
Summary: AI-SPedia is a repository that contains semantic knowledge of scientific publications related to artificial intelligence (AI). It can evaluate the impact of AI research and answer related questions using smart queries. It is the first attempt to evaluate the impacts of AI scientific publications using both bibliometric and altmetric indicators and the power of semantic web technology.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Meriem Sabrine Halilali, Eric Gouarderes, Mauro Gaio, Florent Devin
Summary: This paper presents an approach to GWS discovery through the semantic annotation of WPS service descriptions. It emphasizes the use of semantic-based similarity measures in the matching process to improve accuracy and provides a solution for the limitation of GWS discovery caused by the lack of semantics in service descriptions. The approach includes a three-step matching process using a semantic similarity measure that combines logical and non-logical matching methods.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Computer Science, Artificial Intelligence
Abdullah Almuhaimeed, Mohammed A. Alhomidi, Mohammed N. Alenezi, Emad Alamoud, Saad Alqahtani
Summary: With the widespread of data resources on the internet, overlapping between these resources can provide researchers with more information. Extracting and calculating the semantic similarity between these resources is a challenging task due to their varying descriptions. To address this issue, the paper presents a new semantic similarity method that considers different factors to calculate the semantic similarity between different resources. By utilizing node descriptions and relations from multiple ontologies, this method strengthens the similarity relations between resources and discovers new semantic similarities.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Studies
Abdulkadir Memduhoglu, Melih Basaraner
Summary: The comprehensive definition of buildings in urban spatial databases and geographic information systems is crucial for city management. Integration of volunteered geographic information and geospatial semantic web technologies provides a new opportunity for the enrichment of urban geospatial datasets.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Engineering, Multidisciplinary
Guozhen Zhang, Xiangang Cao, Mengyuan Zhang
Summary: With the rapid development of coal mine intelligent technology, there is a need to establish a new knowledge graph system in the field of coal mine equipment maintenance to address current knowledge management issues and improve maintenance efficiency.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Review
Computer Science, Artificial Intelligence
Shaohua Jiang, Xue Feng, Bo Zhang, Jingting Shi
Summary: There is a significant information gap between different life-cycle stages and different BIM platforms, and semantic enrichment (SE) is an important solution to address this issue. Therefore, semantically rich BIM models play a crucial role in efficient construction management, and BIM is facing higher semantic requirements. It is necessary to conduct SE for BIM according to the specific domains' requirements. However, there is still a lack of in-depth analysis and summary of the content, methods, and applications of SE for BIM in different life-cycle stages. This paper provides a comprehensive review of SE for BIM to analyze the current status and trends.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Multidisciplinary Sciences
Maulik R. Kamdar, Mark A. Musen
Summary: Despite the efforts to create Life Sciences Linked Open Data (LSLOD) cloud, there are still semantic heterogeneity issues across biomedical linked open data sources. Some sources are standalone, lack inter-linkage, and use unpublished schemas with minimal reuse or mappings. The LSLOD schema graph analysis in this research provides assistance to researchers querying and integrating data from multiple biomedical sources simultaneously on the Web.
Article
Geography
Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang
Summary: In the past decade, the electric vehicle (EV) industry has grown rapidly, resulting in a complex ecosystem. To effectively manage this field, a comprehensive knowledge management system called EVKG is introduced. The EVKG encompasses essential EV-related knowledge and supports decision-making by providing timely and accurate information. It is flexible and can evolve alongside the changing EV landscape.
TRANSACTIONS IN GIS
(2023)
Article
Computer Science, Artificial Intelligence
Tobias Kuhn, Ruben Taelman, Vincent Emonet, Haris Antonatos, Stian Soiland-Reyes, Michel Dumontier
Summary: By utilizing nanopublications and a decentralized network of services, users can easily publish small Linked Data statements through a user-friendly interface. This approach addresses the complexity and central bottleneck issues in the process of Linked Data publication.
PEERJ COMPUTER SCIENCE
(2021)
Article
Automation & Control Systems
Touraj Soleymani, John S. Baras, Sandra Hirche
Summary: This article examines the valuation of information in networked control systems, proposing a quantitative measure called value of information (VoI). By formulating a rate-regulation trade-off, the article shows that VoI can be computed and approximated, with its non-negativity determining whether a data packet containing sensory information should be transmitted.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Review
Computer Science, Information Systems
Fahad Qaswar, M. Rahmah, Muhammad Ahsan Raza, A. Noraziah, Basem Alkazemi, Z. Fauziah, Mohd. Khairul Azmi Hassan, Ahmed Sharaf
Summary: This research conducted a systematic literature review to analyze the use of ontology in the Internet of Things (IoT). The findings show that ontologies are needed in the IoT field to minimize interoperability and integration issues, and there are existing ontologies that can be used for this purpose. Therefore, ontology is beneficial for achieving interoperability, integration, and privacy in the IoT.
Article
Computer Science, Artificial Intelligence
Sangeeta Sen, Devashish Katoriya, Animesh Dutta, Biswanath Dutta
Summary: The proposed RDFM method in this study effectively represents, stores, and manages meta-knowledge with lesser statement generation and advantages in storage and graph data management.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, Brahim Chaib-draa
Summary: This work addresses the problem of domain generalization by learning a universal predictor on multiple source domains and applying it to an unseen target domain. Theoretical analysis reveals that controlling source errors and aligning semantic conditional distributions are key to successful generalization. An efficient algorithm is proposed to control label distributions and match semantic conditional distributions, resulting in state-of-the-art performance.
Article
Construction & Building Technology
Jingming Li, Nianping Li, Bao Yue, Rui Yan, Kushnazarov Farruh, Anbang Li, Kehua Li
Summary: This paper investigates the semantic description of Variable Refrigerant Flow systems in building metadata standards and develops a corresponding data management framework. Experimental results show that using the semantic model and service framework can reduce manpower and data analysis time.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Computer Science, Information Systems
Ikrom Nishanbaev, Erik Champion, David A. McMeekin
Summary: In recent years, cultural heritage institutions globally have made significant efforts to digitise cultural heritage for digital preservation and online representation. Web-GIS has shown great potential for disseminating cultural heritage data, but the heterogeneous nature of the data remains a challenge. Many institutions are adopting linked data principles to enhance interoperability and structure within the cultural heritage domain.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Multidisciplinary Sciences
Ana P. Garcia, Luana A. Reis, Fernanda C. Nunes, Francis G. J. Longford, Jeremy G. Frey, Ana M. de Paula, Geovanni D. Cassali
Summary: Changes in collagen fibers in different types of canine mammary gland carcinomas are directly associated with tumor behavior and survival time. These changes could serve as a useful tool in diagnosis.
SCIENTIFIC REPORTS
(2021)
Review
Chemistry, Physical
Samantha Kanza, Cerys Willoughby, Colin Leonard Bird, Jeremy Graham Frey
Summary: As the volume of scientific research data has increased, the use of digital infrastructures has significantly improved the way physical chemistry research is conducted. This review highlights the various aspects of eScience infrastructures and their impact on enhancing physical chemistry research.
ANNUAL REVIEW OF PHYSICAL CHEMISTRY
(2022)
Editorial Material
Multidisciplinary Sciences
Robert Hanisch, Stuart Chalk, Romain Coulon, Simon Cox, Steven Emmerson, Francisco Javier Flamenco Sandoval, Alistair Forbes, Jeremy Frey, Blair Hall, Richard Hartshorn, Pascal Heus, Simon Hodson, Kazumoto Hosaka, Daniel Hutzschenreuter, Chu-Shik Kang, Susanne Picard, Ryan White
Article
Chemistry, Multidisciplinary
Christopher J. Swain, Jeremy G. Frey, Jonathan M. Goodman
Summary: In November 2020, the Royal Society of Chemistry's Chemical Information and Computer Applications interest group held a five-day conference on Open Chemical Science, focusing on open data, open access publishing, and various open-source tools for chemistry. This online event was highly popular and attracted attendees from 45 different countries. The workshops, in particular, were well-received and led to a year-long series of further workshops.
PURE AND APPLIED CHEMISTRY
(2022)
Article
Food Science & Technology
Louise Manning, Steve Brewer, Peter J. Craigon, Jeremy Frey, Anabel Gutierrez, Naomi Jacobs, Samantha Kanza, Samuel Munday, Justin Sacks, Simon Pearson
Summary: This review paper examines the ethical language used by stakeholders in adopting AI in food supply chains. It explores the ethical interaction of AI in food supply chains and proposes management activities to improve the applicability and performance benefits of AI technology.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Jeremy Frey, Timothy J. Wallington, Richard Hartshorn, Martin Quack, Pascal Heus, Steven Emmerson
Summary: This article discusses the units of rate constants as used in chemical kinetics, particularly the aspect of non-integral powers of base units, which may be considered unusual in the SI system. While the units of rate constants can provide useful information about the order of reactions, having the same quantity with different units under different conditions is not ideal. Moreover, functions of rate constants, such as logarithms in the Arrhenius equation, require special attention.
ACCREDITATION AND QUALITY ASSURANCE
(2023)
Article
Chemistry, Multidisciplinary
Rubaiyat Mohammad Khondaker, Stephen Gow, Samantha Kanza, Jeremy G. Frey, Mahesan Niranjan
Summary: The problems of chemical reaction optimization and reaction scope search can be solved by mathematical methods, such as Bayesian optimization. The Experimental Design for Bayesian optimization (EDBO) optimizer is a recent development in this area, which has shown promising results in various experiments and data sets.
JOURNAL OF CHEMINFORMATICS
(2022)
Article
Biochemical Research Methods
Egleidson F. A. Gomes, Eduardo Paulino Junior, Mario F. R. de Lima, Luana A. Reis, Giovanna Paranhos, Marcelo Mamede, Francis G. J. Longford, Jeremy G. Frey, Ana Maria de Paula
Summary: Prostate carcinoma, the second most common cancer among men worldwide, is often slow-growing and indolent. Prognosis relies heavily on the Gleason system, but new treatment and monitoring strategies require a more precise diagnosis. This study used multiphoton imaging to analyze prostate tumor samples from 120 patients, resulting in quantitative parameters that can indicate specific tumor aggressiveness signatures. The automated image analysis distinguished between non-neoplastic tissue and carcinoma areas with an accuracy of 89% +/- 3%, but only achieved 46% +/- 6% accuracy in differentiating between Gleason groups. However, the inclusion of stromal parameters improved the accuracy to 65% +/- 5%, highlighting the importance of considering these parameters for a more accurate diagnosis.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Food Science & Technology
Louise Manning, Steve Brewer, Peter J. Craigon, Jeremy Frey, Anabel Gutierrez, Naomi Jacobs, Samantha Kanza, Samuel Munday, Justin Sacks, Simon Pearson
Summary: This paper criticizes existing reflective food-related ethical assessment tools and proposes the structural elements required for reflexive governance architectures in the application of autonomous technology in food supply chains. The findings suggest that considering the ethical implications in real-life contexts is challenging, and a more holistic approach can inform ethical considerations and the need for mitigation at all lifecycle stages of technology and food product in the supply chain. This research is of interest to those engaged in ethical deliberation on data sharing, AI, and machine learning in food supply chains.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2023)
Article
Microscopy
Haoyan Lu, Michal Odstrcil, Charles Pooley, Jan Biller, Mikheil Mebonia, Guanze He, Matthew Praeger, Larissa Juschkin, Jeremy Frey, William Brocklesby
Summary: Ptychography is an aberration-free lensless imaging technique that can image both amplitude and phase of reflected or transmitted radiation using iterative algorithms. It provides better resolution than conventional optical microscopy and deeper penetration than scanning electron microscopy. The use of high harmonic generation as a lab-scale EUV light source enables high coherence required for ptychography. This paper describes the application of reflection-mode ptychography with a lab-scale high harmonic generation based EUV light source to measure the amplitude and phase reflection from engineered substrate defects in EUV multilayer mirrors.
Article
Chemistry, Multidisciplinary
Samantha Kanza, Cerys Willoughby, Nicola J. Knight, Colin L. Bird, Jeremy G. Frey, Simon J. Coles
Summary: Physical science relies on historical records and new ideas, results, and opportunities. However, a significant amount of scientific data remains inaccessible and challenges persist in the creation and accessing of high quality reusable data in the increasingly digital era.
Article
Chemistry, Multidisciplinary
Jeremy G. G. Frey, Richard M. M. Hartshorn, Leah R. R. McEwen
Summary: This article discusses the methods of connecting physical objects to digital information relevant to chemical entities, specifically those described by the use of the IUPAC International Chemical Identifier (InChI). It provides recommendations on the format of computer readable labels for chemicals and materials used on product/sample containers and the accompanying documentation for container transportation. The focus is on the 2D Quick Response bar code content that describes the molecular content of the containers and links to digital resources. Additionally, the necessary technical and potential business infrastructure to support the use of InChI and InChIKey for quick retrieval of relevant information is considered, with suggestions provided.
PURE AND APPLIED CHEMISTRY
(2022)
Article
Computer Science, Artificial Intelligence
Naomi Jacobs, Steve Brewer, Peter J. Craigon, Jeremy Frey, Anabel Gutierrez, Samantha Kanza, Louise Manning, Samuel Munday, Simon Pearson, Justin Sacks
Summary: The Internet of Food Things Network (IoFT) and the Artificial Intelligence and Augmented Intelligence for Automated Investigation for Scientific Discovery Network (AI3SD) have collaborated to create an ethical framework for digital collaboration in the food industry. This article identifies areas for ethical consideration related to digital collaboration and the use of Industry 4.0 technologies in the food sector, highlighting interdisciplinary methodologies being used to develop this framework. The research questions and objectives addressed by the working group are outlined, with ongoing work being reported and recommendations provided for projects in this area.
Article
Food Science & Technology
Steve Brewer, Simon Pearson, Roger Maul, Phil Godsiff, Jeremy G. Frey, Andrea Zisman, Gerard Parr, Andrew McMillan, Sarah Cameron, Hannah Blackmore, Louise Manning, Luc Bidaut
Summary: The food system relies on data-driven technologies to connect global supply chains, improve governance of data exchange can drive sustainable business growth and secure wider public benefits.
Article
Computer Science, Artificial Intelligence
Samantha Kanza, Colin Leonard Bird, Mahesan Niranjan, William McNeill, Jeremy Graham Frey
Summary: The AI3SD Network was established to promote research in artificial intelligence for accelerating scientific discoveries, and the challenges highlighted in the first year activities in chemistry and AI space are shaping the future directions of the Network.
Review
Pharmacology & Pharmacy
Karlie R. Sharma, Christine M. Colvis, Griffih P. Rodgers, Douglas M. Sheeley
Summary: There are many genes within the druggable genome that have not been studied, and the US National Institutes of Health's program provides resources to explore these genes, with the potential for rapid impact on human health.
DRUG DISCOVERY TODAY
(2024)
Review
Pharmacology & Pharmacy
Mohammad Sameer Khan, B. H. Jaswanth Gowda, Waleed H. Almalki, Tanuja Singh, Amirhossein Sahebkar, Prashant Kesharwani
Summary: Mitochondria-specific functional liposomes hold great potential for cancer therapy. This review discusses the association between mitochondria and tumor formation, as well as the advantages of liposomes in delivering drugs to mitochondria.
DRUG DISCOVERY TODAY
(2024)
Review
Pharmacology & Pharmacy
Choong Yong Ung, Cristina Correia, Hu Li, Christopher M. Adams, Jennifer J. Westendorf, Shizhen Zhu
Summary: With increasing human life expectancy, the global medical burden of chronic diseases is growing. Chronic diseases often involve malfunctioning of multiple organs, and understanding the interorgan crosstalk is crucial to understanding the etiology of chronic diseases. Researchers have proposed the locked-state model (LoSM) and cutting-edge systems biology and artificial intelligence strategies to decipher chronic multiorgan locked states. The findings have important clinical implications for improving treatments for chronic diseases.
DRUG DISCOVERY TODAY
(2024)
