Relevant bibliographies by topics / Knowledge-based Information Models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Knowledge-based Information Models'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Knowledge-based Information Models"

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Cuzzocrea, Alfredo. "Intelligent knowledge-based models and methodologies for complex information systems." Information Sciences 194 (July 2012): 1–3. http://dx.doi.org/10.1016/j.ins.2012.02.037.

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Hsu, Hsieh-Chih, Shen Chang, Chien-Chih Chen, and I.-Chen Wu. "Knowledge-based system for resolving design clashes in building information models." Automation in Construction 110 (February 2020): 103001. http://dx.doi.org/10.1016/j.autcon.2019.103001.

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Coffey, John W., Robert Hoffman, and Alberto Cañas. "Concept Map-Based Knowledge Modeling: Perspectives from Information and Knowledge Visualization." Information Visualization 5, no. 3 (2006): 192–201. http://dx.doi.org/10.1057/palgrave.ivs.9500129.

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This article explores the idea of knowledge modeling as defined at the Florida Institute for Human and Machine Cognition. The notion of knowledge modeling is described to illustrate a particular method by which concept maps might be employed to create a useful structure and organization of other information and knowledge resources. Knowledge model structuring and navigational schemes afforded by the approach are described and illustrated. An example of a knowledge model pertaining to weather forecasting on the Gulf coast of the United States is presented to illustrate these ideas. Examples of
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Ai, Zhuming, and Yu Wei. "Knowledge based method for building molecular models." Journal of Chemical Information and Modeling 33, no. 4 (1993): 635–38. http://dx.doi.org/10.1021/ci00014a018.

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Qu, Zhi Ming. "Investigation and Impact of Knowledge-Based Information on Programming Languages Based on Probabilistic Models." Applied Mechanics and Materials 39 (November 2010): 436–40. http://dx.doi.org/10.4028/www.scientific.net/amm.39.436.

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In recent years, much research has been devoted to the refinement of IPv6; on the other hand, few have investigated the confusing unification of interrupts and Internet QoS. In this position paper, it demonstrates the emulation of interrupts. In order to overcome this quagmire, a novel system is presented for the intuitive unification of expert systems and massive multiplayer online role-playing games. It is concluded that erasure coding can be verified to make heterogeneous, interposable, and event-driven, which is proved to be applicable.
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Weiten, Moritz, and Gunter Wozny. "Advanced information management for process sciences: knowledge-based documentation of mathematical models." International Journal of Internet and Enterprise Management 2, no. 2 (2004): 178. http://dx.doi.org/10.1504/ijiem.2004.004938.

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Kowalczuk, Zdzisław, and Cezary Orłowski. "KNOWLEDGE MANAGEMENT BASED ON FORMAL MODELS OF SOFTWARE PROJECT MANAGEMENT." Cybernetics and Systems 38, no. 5-6 (2007): 611–26. http://dx.doi.org/10.1080/01969720701346538.

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Ying, Peng, Zhongnian Li, Renke Sun, and Xinzheng Xu. "Complementary label learning based on knowledge distillation." Mathematical Biosciences and Engineering 20, no. 10 (2023): 17905–18. http://dx.doi.org/10.3934/mbe.2023796.

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<abstract><p>Complementary label learning (CLL) is a type of weakly supervised learning method that utilizes the category of samples that do not belong to a certain class to learn their true category. However, current CLL methods mainly rely on rewriting classification losses without fully leveraging the supervisory information in complementary labels. Therefore, enhancing the supervised information in complementary labels is a promising approach to improve the performance of CLL. In this paper, we propose a novel framework called Complementary Label Enhancement based on Knowledge
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Peng, Haoliang, and Yue Wu. "A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion." Information 13, no. 3 (2022): 133. http://dx.doi.org/10.3390/info13030133.

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Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion. Several recent works suggest that convolutional neural network (CNN)-based models can capture interactions between head and relation embeddings, and hence perform well on knowledge graph completion. However, previous convolutional network models have ignored the different contributions of different interaction features to the experimental results. In this paper, we propose a novel embedding model named DyConvNE for kn
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GARG, PANKAJ K., THUAN Q. PHAM, BRIAN BEACH, et al. "MATISSE: A KNOWLEDGE-BASED TEAM PROGRAMMING ENVIRONMENT." International Journal of Software Engineering and Knowledge Engineering 04, no. 01 (1994): 17–59. http://dx.doi.org/10.1142/s0218194094000039.

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The downstream activities of large scale software systems life-cycle require team effort of several people over extended time periods. Current computing environments, exemplified by Unix, provide limited support for such team activities. Matisse is a knowledge-based team programming environment that addresses this issue. Matisse models source code, associated documents, people, and tasks as objects in an information system. Relationships between these objects provide associative information retrieval and navigational support; rules defined on object attributes facilitate team coordination and
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Dissertations / Theses on the topic "Knowledge-based Information Models"

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Lisena, Pasquale. "Knowledge-based music recommendation : models, algorithms and exploratory search." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS614.

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Représenter l'information décrivant la musique est une activité complexe, qui implique différentes sous-tâches. Ce manuscrit de thèse porte principalement sur la musique classique et étudie comment représenter et exploiter ses informations. L'objectif principal est l'étude de stratégies de représentation et de découverte des connaissances appliquées à la musique classique, dans des domaines tels que la production de base de connaissances, la prédiction de métadonnées et les systèmes de recommandation. Nous proposons une architecture pour la gestion des métadonnées de musique à l'aide des techn
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Newell, Sima C. "Improved Internet information retrieval through the use of user models, filtering agents and a knowledge-based system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0002/MQ37277.pdf.

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Bobadilla, Renato, Alejandra Mendez, Gino Viacava, Carlos Raymundo, and Javier M. Moguerza. "Service Model Based on Information Technology Outsourcing for the Reduction of Unfulfilled Orders in an SME of the Peruvian IT Sector." Springer Verlag, 2019. http://hdl.handle.net/10757/656246.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>In the current market, small- and medium-sized companies (SMEs) face losses due to poor process control. The core activities of information technology (IT) outsourcing service companies are to provide outsourcing services related to technology and information control, which is why it is crucial to work with standardized, efficient processes, to not affect the main process and resources involved. In this document, a case study of an SME is evalu
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Gaviria, Marín Magaly. "The processes of knowledge management: A bibliometric evolution and assessment models based on ICTs for SMEs." Doctoral thesis, Universitat de Barcelona, 2018. http://hdl.handle.net/10803/664947.

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Esta tesis doctoral se presenta como un compendio de cuatro contribuciones científicas que contribuyen al campo de la gestión del conocimiento. Se presentan dos capítulos teóricos que utilizan metodologías y herramientas bibliométricas para evaluar el progreso del campo a través de sus actores científicos. La primera contribución, se presenta en el capítulo 2 de esta tesis doctoral. Este capítulo es discutido y analizado, desde una perspectiva más amplia, toda la literatura de KM publicada en revistas de Negocios y Administración. Este artículo es relevante, ya que hasta ahora, la literatura d
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Yaner, Patrick William. "From Shape to Function: Acquisition of Teleological Models from Design Drawings by Compositional Analogy." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19791.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2008.<br>Committee Chair: Goel, Ashok; Committee Member: Eastman, Charles; Committee Member: Ferguson, Ronald; Committee Member: Glasgow, Janice; Committee Member: Nersessian, Nancy; Committee Member: Ram, Ashwin.
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Dzhambazov, Georgi. "Knowledge-based probabilistic modeling for tracking lyrics in music audio signals." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/404681.

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This thesis proposes specific signal processing and machine learning methodologies for automatically aligning the lyrics of a song to its corresponding audio recording. The research carried out falls in the broader field of music information retrieval (MIR) and in this respect, we aim at improving some existing state-of-the-art methodologies, by introducing domain-specific knowledge. The goal of this work is to devise models capable of tracking in the music audio signal the sequential aspect of one particular element of lyrics - the phonemes. Music can be understood as comprising differ
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Al-Olimat, Hussein S. "Knowledge-Enabled Entity Extraction." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1578100367105233.

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Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.

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Radovanovic, Aleksandar. "Concept Based Knowledge Discovery from Biomedical Literature." Thesis, Online access, 2009. http://etd.uwc.ac.za/usrfiles/modules/etd/docs/etd_gen8Srv25Nme4_9861_1272229462.pdf.

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Jones, David. "Improving engineering information access and knowledge discovery through model-based information navigation." Thesis, University of Bristol, 2019. http://hdl.handle.net/1983/2d1c1535-e582-41fd-a6f6-cc1178c21d2a.

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An organisation's data, information, and knowledge is widely considered to be one of its greatest assets. As such, the capture, storage and dissemination of this asset is the focus of both academic and organisational efforts. This is true at the Airbus Group, the industrial partner of this thesis. Their Knowledge Management team invests in state-of-the-art tools and techniques, and actively participates in research in a bid to maximise their organisation's reuse of knowledge and ultimately their competitiveness. A successful knowledge management strategy creates a knowledgeable and wise workfo
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Books on the topic "Knowledge-based Information Models"

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Welfe, Władysław. Knowledge-based economies: Models and methods. Peter Lang, 2009.

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Canada, Canada Industry. Employment performance in the knowledge-based economy. Industry Canada, 1996.

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Goodman, IrwinR. Uncertainty models for knowledge-based systems: A unified approach to the measurement of uncertainty. North-Holland, 1985.

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Karagiannis, Stelios. The knowledge-based economy, convergence and economic growth: Evidence from the European Union. Centre of Planning and Economic Research, 2007.

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NATO Advanced Research Workshop on Instructional Models in Computer-Based Learning Environments (1991 University of Twente). Instructional models in computer-based learning environments. Springer-Verlag, 1992.

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Pham, Tuan D. Knowledge-Based Systems in Biomedicine and Computational Life Science. Springer Berlin Heidelberg, 2013.

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Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th
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Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. &#x0D; The textbook in the field of training "Computer Science and Computer Engineering"
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Bashin, Yuriy, Gennadiy Grinev, and Yuliya Dremova. Economics of the information society. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039916.

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The textbook presents modern ideas about the development and formation of the economy of the information society. Scientific concepts of transformation of the modern post-industrial society into an information society based on information and communication technologies and knowledge are highlighted. The basic concepts of technological processes of the information society, as well as definitions and dynamics of development of information resources, products and services in the economy of the information society, and a number of other topical issues are presented. The structure of the manual hel
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Man'kovskaya, Zoya. English language for technical colleges. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1033835.

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The textbook is designed to develop students ' skills of analytical, viewing and search reading of General scientific texts, retelling texts based on reference signals, as well as to form grammatical and lexical competencies, the ability to participate in a dialogue on the topic studied, extract information to discuss issues related to the history and current state of physics, biology, computer science, innovation and other areas of knowledge necessary for a modern specialist. It includes a basic course, a grammar workshop, lesson tests, and final tests. Current scientific and technical proble
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Book chapters on the topic "Knowledge-based Information Models"

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Veitaitė, Ilona, and Audrius Lopata. "Knowledge-Based UML Models Generation from Enterprise Model Technique." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67642-5_26.

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Strecht, Pedro, João Mendes-Moreira, and Carlos Soares. "Generalizing Knowledge in Decentralized Rule-Based Models." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14880-5_3.

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Yadykin, Igor B., and Evgeny M. Maximov. "Knowledge-Based Models for Smart Grid." In New Frontiers in Information and Production Systems Modelling and Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23338-3_9.

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Kaiya, Haruhiko, Kazuhiko Adachi, and Yoshihide Chubachi. "Requirements Exploration by Comparing and Combining Models of Different Information Systems." In Knowledge-Based Software Engineering: 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97679-2_7.

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Liu, Dezhi, and Anshuman Razdan. "Knowledge-Based Search Engine for Specific 3D Models." In Computational and Information Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30497-5_83.

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Veitaite, Ilona, and Audrius Lopata. "Transformation Algorithms of Knowledge Based UML Dynamic Models Generation." In Business Information Systems Workshops. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69023-0_6.

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Szpyrka, Marcin, and Leszek Kotulski. "Snapshot Reachability Graphs for Alvis Models." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23851-2_20.

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Bratosin, Carmen, Natalia Sidorova, and Wil van der Aalst. "Discovering Process Models with Genetic Algorithms Using Sampling." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15387-7_8.

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Bakhtadze, Nataliya N., and Vladimir A. Lototsky. "Knowledge-Based Models of Nonlinear Systems Based on Inductive Learning." In New Frontiers in Information and Production Systems Modelling and Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23338-3_4.

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Yaakob, Shamshul Bahar, and Junzo Watada. "A Hybrid Intelligent Algorithm for Solving the Bilevel Programming Models." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15390-7_50.

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Conference papers on the topic "Knowledge-based Information Models"

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Yongfei, Miao, Zhang Yihang, Wang Li, Song Xiaoxue, Song Yuze, and Tang Zekun. "Millitary Knowledge Graph Construction Based on Universal Information Extraction Models." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808357.

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Li, Wei, Jingguo Ge, Weihua Feng, Lei Zhang, Liangxiong Li, and Bingzhen Wu. "SIKGC: Structural Information Prompt Based Knowledge Graph Completion with Large Language Models." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831590.

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Wasi, Azmine Toushik. "HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation." In Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.kallm-1.6.

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Wang, Shuo, Chihang Wang, Jia Gao, Zhen Qi, Hongye Zheng, and Xiaoxuan Liao. "Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11063887.

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Bakhtiari, Parsa, Hassan Bashiri, Alireza Khalilipour, Masoud Nasiripour, and Moharram Challenger. "Knowledge Extraction from Technical Reports Based on Large Language Models: An Exploratory Study." In 2024 15th International Conference on Information and Knowledge Technology (IKT). IEEE, 2024. https://doi.org/10.1109/ikt65497.2024.10892757.

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Ishikawa, Taichi, and Riki Honda. "Development of constructing 3D bridge models using deep learning based on structured knowledge." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0955.

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&lt;p&gt;In recent years in Japan, infrastructures constructed during the period of rapid economic growth have been rapidly aging and their management has become an urgent issue. Because construction drawings and photographs are used for bridge management in Japan, inspectors cannot record 3D-information of damages precisely and accumulate damage records. To overcome these problems, the use of 3D models in bridge management is attracting attention as part of promotion of digital twins. There has been lots of research in which they construct 3D models using various types of data, including cons
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Chusova, Alina, Irina Artemieva, and Andrey Chusov. "A Hybrid Approach to Extraction of Knowledge From Scientific Texts Based on Large Language Models and Domain Dictionaries." In 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2024. http://dx.doi.org/10.1109/sibircon63777.2024.10758538.

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Ni, Mingjian, Jing Zhang, Cong Fu, Jiaqi Wang, Xin Ning, and Siyuan Li. "ChatGrid: Intelligent Knowledge Q&A for Power Dispatching Control Based on Large Language Models and Retrieval-augmented Generation." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733337.

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Servia, Miguel �ngel de Carvalho, Ilya Orson Sandoval, King Kuok (Mimi) Hii, Klaus Hellgardt, Dongda Zhang, and Ehecatl Antonio del Rio Chanona. "Physics-Informed Automated Discovery of Kinetic Models." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.152436.

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The industrialization of catalytic processes requires reliable kinetic models for design, optimization, and control. While white box models are preferred for their interpretability, they demand considerable time and expertise for their construction. This research enhances the ADoK-S framework by embedding prior expert knowledge using mathematical constraints and integrating uncertainty quantification. The improved methodology consists of: (I) a genetic programming algorithm with constraints to produce physically coherent candidate models, (II) a sequential optimization algorithm for parameter
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Ott, Simon, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, and Heiner Stuckenschmidt. "Rule-based Knowledge Graph Completion with Canonical Models." In CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management. ACM, 2023. http://dx.doi.org/10.1145/3583780.3615042.

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Reports on the topic "Knowledge-based Information Models"

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Pilkevych, Ihor, Oleg Boychenko, Nadiia Lobanchykova, Tetiana Vakaliuk, and Serhiy Semerikov. Method of Assessing the Influence of Personnel Competence on Institutional Information Security. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4374.

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Modern types of internal threats and methods of counteracting these threats are analyzed. It is established that increasing the competence of the staff of the institution through training (education) is the most effective method of counteracting internal threats to information. A method for assessing the influence of personnel competence on institutional information security is proposed. This method takes into account violator models and information threat models that are designed for a specific institution. The method proposes to assess the competence of the staff of the institution by three
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Choi, Jinho, and Kyung-Seok Min, eds. Education for Future Industries in Asia: Making Higher Education Fit the Labor Market of Tomorrow. Asian Productivity Organization, 2021. http://dx.doi.org/10.61145/dvth4239.

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As the world moves from traditional manufacturing to knowledge-based, high-technology industry, Asian countries are gearing up to acquire new skills and competencies essential for the future industry. While the way forward is to develop new models of skilling and education, there is also a need to improve cooperation between the higher education institutions (HEI) and the industry. The publication presents information about how HEIs from five APO member countries are developing relevant knowledge and skills. It also identifies policy approaches to make higher education more relevant for the di
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Ruff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.

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The troops of the national guard of the Russian Federation are equipped with modern models of weapons, special equipment, Informatization tools, engineering weapons that have artificial intelligence in their composition are being developed, " etc., which causes an increase in the requirements for the quality of professional training of future officers. The increasing complexity of military professional activities, the avalanche-like increase in information, the need to develop the ability to quickly and accurately make and implement well-known and own engineering solutions in an unpredictable
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Lutz, Carsten, Carlos Areces, Ian Horrocks, and Ulrike Sattler. Keys, Nominals, and Concrete Domains. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.122.

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Many description logics (DLs) combine knowledge representation on an abstract, logical level with an interface to 'concrete' domains such as numbers and strings with built-in predicates such as &lt;, +, and prefix-of. These hybrid DLs have turned out to be quite useful for reasoning about conceptual models of information systems, and as the basis for expressive ontology languages. We propose to further extend such DLs with key constraints that allow the expression of statements like 'US citizens are uniquely identified by their social security number'. Based on this idea, we introduce a number
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Eickhout, Bas, Hans van Meijl, Andrzej Tabeau, and Elke Stehfest. The Impact of Environmental and Climate Constraints on Global Food Supply. GTAP Working Paper, 2008. http://dx.doi.org/10.21642/gtap.wp47.

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*Chapter 9 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol The goal of this Chapter is to study the complex interaction between agriculture, economic growth and the environment, given future uncertainties. We combine economic concepts and biophysical constraints in one consistent modeling framework to be able to quantify and analyze the long-term socio-economic and environmental consequences of different scenarios. Here, we present the innovative methodology of coupling an economic and a biop
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Sudhivoraseth, Jitraporn. Policy evaluation on promotion projects implemented by the Public Relations Department's Regional Offices. National Institute of Development Administration ; Chulalongkorn University, 2002. https://doi.org/10.58837/chula.res.2002.21.

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This research aims to study the achievement or failure of the promotion projects implemented by the Public Relations Department’s Regional Offices. The objectives of this study are two fold. First, to evaluate the three promotion projects: Democracy Promotion Project, Drug Prevention and Solution Promotion Project, and AIDS Prevention and Solution Promotion Project under the Action Plan of the Public Relations Department, fiscal year 2000. Second, to investigate the factors relating to the achievements or failures of these three promotion projects under study. The conceptual framework is devel
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Niebler, Rebecca. Abfallwirtschaftliche Geschäftsmodelle für Textilien in der Circular Economy. Sonderforschungsgruppe Institutionenanalyse, 2020. http://dx.doi.org/10.46850/sofia.9783941627833.

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This master thesis explores the challenges for waste management business models in the field of textiles regarding the requirements of the circular economy, as well as improvement potentials in the current framework conditions. It is concerned with the research question: "Is it advisable to change the frame-work conditions at meso or macro level, with regard to business models for waste management companies in the textile sector that are oriented towards the requirements of the circular economy, and - if so - in what way?” The approach of the study is based on the delta analysis of the e Socie
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Unknown, Author. WINMOP-R03 Performance of Offshore Pipelines. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011744.

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The objective of the project was to validate existing pipeline integrity prediction models through field testing multiple pipelines, validate the performance of in-line instrumentation through smart pig runs, and finally, to assess the actual integrity of aging damaged and defective pipelines. The objectives were accomplished by the testing of aging out-of-service lines using "smart pigs", followed by hydrotesting of the lines to failure, recovery of the failed sections, and determination of the pipeline characteristics in the vicinity of the failed sections (failure analysis). One objective o
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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