Meta ontology - PowerPoint PPT Presentation


Introduction to Meta-analysis in Stata

This workshop, presented by Dr. Christine R. Wells from UCLA, provides an in-depth exploration of meta-analysis in Stata. Participants will learn about systematic reviews, data collection and organization, running meta-analyses, interpreting results, creating graphs, and identifying biases. The focu

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Interactive Web-Based Shiny Apps for Meta-Analysis of Diagnostic Test Accuracy

Explore interactive Shiny apps presented by Nicola Cooper and team for conducting meta-analysis of diagnostic test accuracy data with a point-and-click interface. Find educational primers, principles, and tools to enhance evidence synthesis methods and visualization in healthcare.

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Substituent Effects on Benzene Reactivity and Orientation

Substituents in benzene derivatives influence reactivity and orientation in electrophilic substitution reactions. They can be classified as ortho-para directing or meta directing based on their effect. Ortho-para directing groups increase electron density and activate the ring, while meta directing

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Introduction to Three-Level Meta-Analysis Models in R: A Practical Example

Explore three-level meta-analysis models in R with a focus on the association between paternal anxiety and child emotional problems. Learn to prepare data files, fit models using the rma.mv function in metafor, and understand the structure of the formula for random effects. Follow along with a step-

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Regulatory Compliance Mapping Tool (RCMT) Status Update - September 20, 2023

The Regulatory Compliance Mapping Tool (RCMT) Federal Aviation Administration status update for September 20, 2023, highlights significant achievements, including software development progress, document ingestion, ontology updates, user interface testing, and security framework enhancements. The RCM

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Exploring Genetics and Genomics in Integrative Biology

Delve into the world of genetics and genomics through the lens of integrative biology, investigating the differences between cell types, the rationale for gene expression profiling, and the analysis of differential gene expression in various diseases. Uncover the significance of gene ontology, co-ex

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Understanding Systematic Reviews, Meta-analysis, and Clinical Practice Guidelines

Explore the importance of systematic reviews, critical appraisal questions, meta-analysis, and clinical practice guidelines in the healthcare field. Learn about the process of appraising systematic reviews, the significance of meta-analysis, and the benefits of following clinical practice guidelines

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Understanding Knowledge Structure: Modeling Ephraim Chambers' Approach

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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Exploring Meta-Ethics: Understanding Ethical Principles

Meta-ethics delves into the nature and validity of ethical statements, examining the meaning of right and wrong and the basis for moral claims. It explores distinctions between descriptive and normative ethics, cognitive and non-cognitive perspectives, and various ethical approaches such as naturali

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Comprehensive Overview of Admetan: A New Meta-Analysis Command

This meta-analysis command, Admetan, introduced by David Fisher from MRC Clinical Trials Unit at UCL, offers a comprehensive analysis of combining results from independent studies. It builds on the history of meta-analysis in Stata and aims to enhance capabilities for researchers. Admetan provides f

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Comparative Hermeneutics: Understanding Biblical Texts

Explore the application of hermeneutical methods on biblical texts such as Psalm 23 and 1 Tim. 2 through interpretation, translation, and contextual analysis. Delve into the meaning of texts, the role of signs and symbols, and the impact of varying presuppositions on interpretation. Reflect on the p

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Meta-Analysis in GWAS: Methods and Applications

Meta-analysis in GWAS involves combining data across studies to estimate overall effects, explore cohort differences, improve power, and replicate findings. It includes joint vs. meta-analysis, methods, and types such as fixed effect and random effect meta-analyses.

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Semantic Analysis of Clinical Narratives Using Complex Knowledge Graphs

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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Meta-Evaluation of Private Sector Interventions in Agribusiness: Impacts and Methodologies

This meta-evaluation study explores the impact of access to finance and farmer/business training interventions on agribusiness indicators. It discusses the methodologies used in evaluations, highlighting the use of randomized control trials and quasi-experimental methods. Findings provide insights i

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Meta's Role in Amplifying Anti-Rohingya Hate on Facebook

The investigation findings reveal Meta's failure to address hate speech and incitement against the Rohingya people on Facebook, resulting in a platform that amplified and promoted harmful content. Despite admitting in 2018 that more needed to be done, Meta's business model of data collection and eng

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Advancements in Knowledge Graph Question Answering for Materials Science

Investigating natural language interfaces for querying structured MOF data stored in a knowledge graph, this project focuses on developing strategies using NLP to translate NL questions to KG queries. The MOF-KG integrates datasets, enabling query, computation, and reasoning for deriving new knowled

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Interconnected Cultural Heritage through TEI and CIDOC-CRM

Explore the interconnectedness of cultural heritage using Text Encoding Initiative (TEI) and CIDOC-CRM standards, as discussed by Dr. Øyvind Eide in the field of Digital Humanities. Discover how TEI documents can be enriched with ontology, facilitating a deeper understanding of historical data and

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Utilizing Deep Learning for Privacy Verification in Mobile and Web Apps

Mobile and web apps are collecting personal information, posing privacy risks. Compliance verification is challenging, but deep learning can help maintain an ontology of information types, reducing ambiguity and improving analysis accuracy, as demonstrated by Convolutional Neural Networks (CNNs) in

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WEB-SOBA: Ontology Building for Aspect-Based Sentiment Classification

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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Overview of Open Provenance Model Tutorial Session 3

Explore Session 3 of the Open Provenance Model Tutorial, covering topics like the XML Schema for OPM, OWL ontology, OPM Layered Architecture, XML Binding, RDF Binding, and more. Dive into OPM Layered Model, XML Binding, OPM Graph, OPM Process, and OPM Artifact to understand specialized domains and e

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Understanding Relational Ontology and Knowledge Production in Sociology

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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Linking BIM and GIS Standard Ontologies with Linked Data

Introduction to the need for seamless data interpretation between Building Information Model (BIM) and Geographic Information System (GIS), focusing on aligning BIM and GIS standard ontologies for semantic interoperability. Addressing the challenges of data interoperability layers and the characteri

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Semi-Automatic Ontology Building for Aspect-Based Sentiment Classification

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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Meta-programming in Haskell: A Closer Look at Splices and Quotations

Explore the world of meta-programming in Haskell through splices and quotations. Learn about successful extensions introduced by Simon Peyton Jones and Tim Sheard, including practical examples like generating source code using splices that are type-checked and compiled at compile time. Dive into con

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CCSDS System Architecture WG Restart Summary

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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Framework for Ontology Learning from Big Data with IDRA

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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Overview of OWL 2 Web Ontology Language Features

Introduction to OWL 2, its extension from OWL 1.1, and compatibility, new features based on real applications and use cases, adoption as a W3C recommendation in 2009, and the rationale behind features like syntactic sugar, new constructs, extended datatypes, and punning.

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Importance of Ontology in System Development for DoT

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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Research Infrastructure for Earth System: Development and Status

The French Research Infrastructure for the Earth System, managed by Richard Moreno, focuses on data and services development. Plans include working groups, meetings, and key activities like data modeling and ontology development. The status of Data and Services Hubs is highlighted, showcasing collab

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Progress Report on AI-Based Symptom Assessment in Healthcare

This report provides an overview of the advancements in AI-based symptom assessment for healthcare applications. It covers the discussion points from the recent e-meeting, presentation updates, and the current status of benchmarking systems and ontology work within the Topic Group Symptom. The focus

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Meta-Analysis of Convention Satisfaction and Loyalty Trends

This meta-analysis explores the relationship between attributes, perceptions, satisfaction, and loyalty in the convention industry. It highlights key findings from multiple studies using statistical methods to analyze attendee satisfaction and loyalty factors. The study emphasizes the importance of

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Challenges and Opportunities in Ontology Engineering Tools

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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Exploring Funnel Plots in Meta-analysis with Metafor in R

Funnel plots in meta-analysis help assess distribution symmetry, heterogeneity, and publication bias. The trim and fill analysis with Metafor in R examines data transformations, imputes missing values, and performs sensitivity analysis through re-computing funnel plots.

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Understanding Prediction and Confidence Intervals in Meta-Analysis

Conceptually, I-squared represents the proportion of total variation due to true differences between studies, while Proportion of total variance is due to random effects. Prediction intervals provide a range where study outcomes are expected, unlike confidence intervals which contain the parameter's

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Using Word Embeddings for Ontology-Driven Aspect-Based Sentiment Analysis

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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BabyDayOut Ontology: Describing Picture with Classes, Instances, and Relations

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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Exploring the Future Role of State Governance through Meta-Governance and Political Leadership

Governance research perspective discusses the evolving role of the state in mobilizing public and private actors through interactive forms of governance. Meta-governance theory emphasizes the governance of governance, with a focus on interactive governance arenas. Recent theories of political leader

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Interactive Microbiome Data Analysis with Parallel-Meta Suite

Conduct interactive and rapid microbiome data analysis on various platforms using Parallel-Meta Suite. This software, developed by a team from Qingdao University, simplifies the process from installation to verification. Utilize the step-by-step guide to download, install, and verify the software to

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SASOBUS: Semi-Automatic Sentiment Domain Ontology Building Using Synsets

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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Understanding Contexts: A Meta-Ontological Approach

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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