The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod

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This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr

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This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation

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Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm

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Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat

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Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each

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Explore the significance of Chambers' Cyclopaedia published in 1728, focusing on its taxonomic tree structure and domain vocabulary. Learn about naive vs. informed modeling, the role of a Thesaurus/Ontology in expressing hierarchy, and the implications of talk exchanges in understanding knowledge st

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Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces

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Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu

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Need for improved semantic analysis of clinical narratives for information retrieval and decision support is addressed through the use of complex knowledge graphs. These graphs capture axiomatic descriptions of generalizable truths about entities in the medical domain, providing a language-independe

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This content provides insights into CPSC 531: System Modeling and Simulation course, covering topics such as performance evaluation, simulation modeling, and terminology in system modeling. It emphasizes the importance of developing simulation programs, advantages of simulation, and key concepts lik

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Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie

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Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such

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This study introduces WEB-SOBA, a method for semi-automatically building ontologies using word embeddings for aspect-based sentiment analysis. With the growing importance of online reviews, the focus is on sentiment mining to extract insights from consumer feedback. The motivation behind the researc

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This academic exploration delves into the concept of relational ontology and its methodological implications in knowledge production, focusing on the ownership of ideas and the role of intellectuals as knowledge producers. It discusses the foundational singularity, the generative significance of con

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Growing importance of online reviews highlights the need for automation in sentiment mining. Aspect-Based Sentiment Analysis (ABSA) focuses on detecting sentiments expressed in product reviews, with a specific emphasis on sentence-level analysis. The proposed approach, Deep Contextual Word Embedding

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System Architecture Working Group (SAWG) is restarting to refresh the CCSDS Reference Architecture for CMC. The motivation stems from the need to update the outdated RASDS and align it with evolving standards and projects. The plan includes incorporating operational, physical, and service viewpoints

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IDRA (Inductive Deductive Reasoning Architecture) presents a comprehensive framework for ontology learning, focusing on data modeling and architecture components. ETL (Extract Transform Load) processes play a vital role in semantic enhancement of data, especially in identity and access governance co

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Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

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Ontology plays a crucial role in the development of systems for DoT by facilitating the automation of tasks, improving consistency, and enhancing the efficiency of tool chains. It enables the transformation of semantic descriptions into algorithms, streamlining processes and reducing the need for ma

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Prof. Enrico Motta discusses the limitations of current ontology engineering tools, emphasizing the need for better support for creating ontological specifications. The lack of tools that offer a knowledge-level perspective and assist in sensemaking, navigation, and identifying relevant definitions

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Motivated by the increasing number of online product reviews, this research explores automation in sentiment mining through Aspect-Based Sentiment Analysis (ABSA). The focus is on sentiment detection for aspects at the review level, using a hybrid approach that combines ontology-based reasoning and

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Ontology "BabyDayOut" is developed using RDF/RDFS to describe a picture. It includes classes such as Person, Animal, Baby, Picture, Man, and Gorilla with instances like John, KingKong, Jack, Peter, and Alex. Various relations like hasFriend, hasAnimalFriend, sonOf, depicts, hasEnemy, and hasTitle ar

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Building on the need for automation due to the increasing volume and significance of online reviews, SASOBUS focuses on Aspect-Based Sentiment Analysis (ABSA). The motivation behind SASOBUS lies in the growth of sentiment mining for product reviews, particularly at the sentence level. Its approach i

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Ontologies provide a general representation of reality, but knowledge is mostly context-dependent. Analyzing different types of contexts, from linguistic to manufacturing, remains a challenge. This study aims to deepen the understanding of the ontological nature of contexts by leveraging a meta-onto

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The research discusses methods for hierarchical classification of entities into incomplete ontologies. It explores the challenges of evolving web-scale datasets and the need for classifying entities in an incomplete ontology structure. The Hierarchical Exploratory EM model is detailed, providing ins

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Delve deep into the intricacies of OWL, a powerful ontology language designed for instance classification, consistency checking, and subsumption reasoning. Explore its features, versions, species, and trade-offs between expressiveness and reasoning complexity.

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Web Ontology Language (OWL) is a powerful tool for ontology modeling, allowing the creation of complex structures and relationships. OWL encompasses entities, expressions, and properties, enabling detailed descriptions of domains through axioms. The language supports both object and data properties,

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Explore the world of developing OWL ontologies with Protégé 4 through a comprehensive tutorial by Simon Jupp and Timothy Redmond from Stanford Centre for Biomedical Research and the University of Manchester. Learn about OWL introduction, Protégé 4 interface, compositional approach, and the signi

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Ontology is the study of existence, with applications in various fields like philosophy, linguistics, and computer science. In computer science, an ontology is an engineering artifact that defines a specific vocabulary to describe a domain, along with explicit assumptions about the vocabulary's inte

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Exploring the world of ISO/IEC standards and formal ontologies as presented by Alan Ruttenberg and Barry Smith at JOWO Graz in 2019. The slides cover topics such as basic formal ontology, connectors, domain ontologies, top-level ontologies, and the requirements for being a top-level ontology. ISO/IE

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Delve into the world of ontology with this quiz featuring questions on computational complexity, mereology, standardization of OWL, and foundational ontologies. Test your understanding on topics such as first-order predicate logic, parthood in mereology, and more. Challenge yourself and expand your

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Delve into the fascinating realm of relational ontology, where concepts like the nature of existence, the essence of things, and the interconnectedness of all are dissected. From traditional Western perspectives to Eastern philosophies, this exploration challenges conventional views on reality, emph

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Explore the study on modeling semantic relations expressed by prepositions conducted by Vivek Srikumar and Dan Roth from the University of Illinois, Urbana-Champaign. The research delves into prepositions triggering relations, ontology of preposition relations, examples of preposition relations, pre

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Ontologies are dynamic entities that evolve over time, impacting semantically-enabled applications and knowledge acquisition. This work focuses on identifying desired functionalities for ontology evolution systems, highlighting the steps involved in ontology evolution, and emphasizing the importance

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NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo

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Semantic Tool for the Protection of Personal Information Act is a project led by Yahlieel Jafta, aiming to establish a knowledge base using ontology to assist individuals and organizations in interpreting the Act. The project focuses on the importance of ontologies in extending knowledge and enablin

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This study presents an innovative approach to sentiment analysis at the review level, focusing on aspect-based sentiment analysis (ABSA) using ontologies. Motivated by the increasing volume of product reviews online, the research addresses the challenge of detecting sentiment associated with aspects

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Explore a wide range of Ontology Editors and Integrated Development Environments (IDEs) for managing ontologies efficiently. From simple text editors to advanced IDEs like Protégé and Web Protege, learn about various tools and syntax options available. Dive into Ontology Editors like Protégé 4.3

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Explore the innovative approach of utilizing risk assessment methodologies and ontology to enhance digital preservation strategies. Learn how these tools help in identifying risks, mapping mitigation measures, and aligning real-world objectives with preservation goals for effective management of dig

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