Concepts

477Concepts

11Domains

50Reviewed

45Tagged

분야별 개념 노트

AI197

Labs116

Psychology55

4-141

Statistics26

Reinforcement-Learning19

3-213

Information-Theory3

Mathematics3

Study3

Neuroscience1

▶ 최근 정리한 개념

Chapter 8. The acting brain4-1 · 2026-06-01 Chapter 10. The hearing brain4-1 · 2026-05-24 Chapter 11. The speaking brain4-1 · 2026-05-24 Chapter 12. The literate brain4-1 · 2026-05-24 Chapter 13. The numerate brain4-1 · 2026-05-24 Chapter 16. The developing brain4-1 · 2026-05-24 Chapter 9. The remembering brain4-1 · 2026-05-24 ANCOVAStatistics · 2026-03-17

Image3-2—

Irony3-2—

musicality3-2—

경험담3-2—

그냥 좋은 것3-2—

그런 사람 또 없습니다3-2—

사랑의 진리3-2—

서글픈 요령3-2—

욕심3-2—

이별역3-2—

마중도 배웅도 없이(박준)3-2—

현대 시 읽기3-2—

Brain and Cognition4-1—

Chapter 1. Introducing cognitive neuroscience4-12026-03-08

Chapter 10. The hearing brain4-12026-05-24

Chapter 11. The speaking brain4-12026-05-24

Chapter 12. The literate brain4-12026-05-24

Chapter 13. The numerate brain4-12026-05-24

Chapter 14. The executive brain4-12026-03-09

Chapter 15. The social and emotional brain4-12026-03-09

Chapter 16. The developing brain4-12026-05-24

Chapter 2. Introducing the brain4-12026-03-08

Chapter 3. The electrophysiological brain4-12026-03-08

Chapter 4. The imaged brain4-12026-03-08

Chapter 5 The lesioned brain4-12026-03-08

Chapter 6 The Seeing Brain4-12026-03-08

Chapter 7. The attending brain4-12026-03-09

Chapter 8. The acting brain4-12026-06-01

Chapter 9. The remembering brain4-12026-05-24

Ch12_Physical_Storage_Systems4-1—

Ch13_Data_Storage_Structures4-1—

Ch14_Indexing4-1—

Ch15_Query_Processing4-1—

Ch16_Query_Optimization4-1—

Ch17_Transactions4-1—

Ch18_Concurrency_Control4-1—

Ch19_Recovery_System4-1—

Ch1_Introduction4-1—

Ch2_Relational_Model4-1—

Ch3_Intro_to_SQL4-1—

Ch4_Intermediate_SQL4-1—

Ch5_Advanced_SQL4-1—

Ch6_ER_Model4-1—

Ch7_Relational_Database_Design4-1—

Database System - 14-1—

Database System Midterm — 연습문제 404-1—

흑백 연애 대전 — 슬라이드 디자인4-1—

문콘이 발표 아이디어4-1—

문화콘텐츠의 이해(Lecture)4-1—

흑백 연애 대전 — 발표 스크립트 (17 슬라이드 / 19분)4-1—

흑백 연애 대전 — 슬라이드 디자인4-1—

흑백 연애 대전 — 클립 시나리오4-1—

흑백 연애 대전 — 단일 트랙 기획서4-1—

Activation FunctionsAI—

AdamAI—

AdamWAIOptimization2026-01-11

Advanced Technique of Recommendation System based on DLAI—

AgentnessAIAgentness, Goal-directedness, Core Knowledge, AI Agent, Theory of Mind, Program Synthesis—

Application and Trend of Generative modelsAI—

AutoEncoderAI—

BERTAI—

BLEUAI—

BackpropagationAI—

Basic NLP-1AI—

Basic NLP-2AI—

Basics of Neural NetworkAI—

Basics of Recommendation System based on DLAI—

Batch NormalizationAI—

Behavioral Self-ModelingAIBehavioral Self-Modeling, Self-Model, Agent Evaluation, Goal-Directedness, Metacognition—

Bernoulli distributionAI—

Bidirectional RNNAI—

Binary Cross EntropyAI—

Brier ScoreAI—

Building Models (DL-workflow)AI—

CNN in audio detection(ex)AI—

CNNAI—

Chi Sqaured distributionAI—

Chunk Attribution and UtilisationAI—

ClassificationAI—

ClusteringAI—

Combinatorial OptimizationAI—

CompletenessAI—

Computation graphsAI—

Computer VisionAI—

Confusion MatrixAI—

Context RelevanceAI—

Contrastive LearningAI—

ConvolutionAIConvolution, CNN, Signal Processing, Linear Operators, Translation Equivariance, Inductive Bias—

Cross EntropyAI—

Data AugmentationAI—

Data PreprocessingAI—

Data preparation (DL-workflow)AI—

Decoding The Deep(24W)AI—

Deep Neural Network(DNN)AI—

DerivativeAI—

Dimension ReductionAI—

ECEAI—

ELUAI—

Evaluating Models (DL-workflow)AI—

Face AlignmentAI—

Face DetectionAI—

Face EmbeddingAI—

FactualityAI—

Fourier TransformAIFourier Transform, Frequency Domain, Signal Processing, Convolution, Spectral Analysis, Deep Learning—

GANs(Generative Adversarial Networks)AI—

GPTAI—

Gaussian distributionAI—

GloVeAI—

Google IO Extended 25(in Incheon)AI—

Gradient ClippingAI—

Gradient Descent(GD)AI—

Graph Neural NetworksAI—

Image CaptioningAI—

Image ClassificationAI—

Improper Validation SetAI—

Improving Performance (DL-workflow)AI—

Inductive BiasAIInductive Bias, Generalization, Prior, Model Architecture, Learning Theory—

Instance SegmentationAI—

KL divergenceAI—

KV CachingAI—

Kolmogorov ComplexityAIKolmogorov Complexity, Algorithmic Information Theory, Compression, Generalization, Intelligence Evaluation—

LDA(Linear Discriminant Analysis)AI—

LLM UncertaintyAI—

LLM training with MaxText on TPUs (AI Session-3)AI—

Lamini Memory TuningAI—

Language ModelingAI—

Laplace distributionAI—

Leaky ReLUAI—

Learning Rate SchedulerAI—

LikelihoodAI—

Linear ClassifiersAI—

Logical ANDAI—

Logical ORAI—

Logistic regressionAI—

Long Short Term Memory(LSTM)AI—

Loss FunctionAI—

MLP(Multi-Layer-Perceptrons)AI—

Maximum Likelihood EstimationAI—

Mean Absolute Error(MAE)AI—

Mean Square Error(MSE)AI—

Meta LearningAI—

Metacognition in AIAI—

Mixture of Experts(MoE)AI—

Multi-layer RNNAI—

Multiclass SVM LossAI—

NLPAI—

Nesterov MomentumAI—

Neural Network Design MethodAI—

Neural Network Training StrategyAI—

Neural NetworkAI—

Noisy ValidationAI—

Non-LinearityAI—

Not ConvergedAI—

Object DetectionAI—

One-hot vectorAI—

OptimizationAI—

OverfittingAI—

PCA(Principle Component Analysis)AI—

Paradigm Shift with MLAI—

PerceptronAI—

PerplexityAI—

Persona in LLMsAIPersona, LLM, Agentness, Motivation, Desire, Role Prompting, AI Agent—

Positional EncodingAI—

Pretraining-Finetuning ParadigmAI—

QuantizationAI—

RAdamAI—

RNN ApplicationsAI—

RNNAI—

ROUGEAI—

ReLUAI—

Recent Methods and Trends of XAIAI—

RegressionAI—

RegularizationAI—

Reinforcement Learning with Human Feedback(RLHF)AI—

SGD with MomentumAI—

Self-Consciousness in AIAI—

Semantic SegmentationAI—

Seq2Seq-ImplementationAI—

Shift InvarianceAI—

SiLU(Sigmoid Linear Unit)AI—

Softmax classifierAI—

Stochastic Gradient Descent(SGD)AI—

SubgradientAI—

Supervised LearningAI—

Theoretical Understanding of Generative ModelsAI—

Theory of Mind (ToM) in AIAI—

Training Models (DL-workflow)AI—

TransformerAI—

Types of LearningAI—

UnderfittingAI—

Unsupervised LearningAI—

Variational AutoEncoder(VAE)AI—

VectorizationAI—

Vision Language ModelAI—

Vision Transformer(ViT)AI—

Weight InitializationAI—

Word EmbeddingAI—

XAIAI—

XOR problemAI—

ZFNetAI—

tanhAI—

마라톤 끝의 단거리 스퍼트-2025년의 AI (AI Session-4)AI—

분명 이과(비개발자)였는데, 문과에서 AI,ML연구합니다. 잘 될까요 (AI Session-2)AI—

NumpyAI—

sklearn.datasetsAI—

Computing Machinery and IntelligenceAIIntelligence—

Neuron Model - A logical calculus of the ideas immanet in nervous activityAI—

The perceptron, a perceiving and recognizing automaton (Project Para)AIAI—

AI Bias for Creative Writing - Subjective Assessment Versus Willingness to PayAIAI Bias, Creative Writing, Stated vs Revealed Preferences, Willingness to Pay, Algorithm Aversion2026-03-01

Prismatic Synthesis - Gradient-based Data Diversification Boosts Generalization in LLM ReasoningAI2026-01-14

WHEN RAG HURTS - DIAGNOSING AND MITIGATING ATTENTIONDISTRACTION IN RETRIEVAL-AUGMENTED LVLMSAI2026-02-11

LLM 학습/추론용 GPU·TPU 하드웨어 정리AI—

LLM 실무 하드웨어 용어 정리AI—

frontier-modelAI—

CoLAAI—

Question NLIAI—

RACEAI—

RTEAI—

SNLIAI—

SST-2AI—

STSAI—

Story ClozeAI—

Markov ChainInformation-Theory—

Markov Decision Process(MDP)Information-Theory—

Partially Observable Markov Decision Process(POMDP)Information-Theory—

Experiment Design: ToM-Self-Referential Processing 공유 메커니즘 검증Labs—

아이디어 비교 평가: 기존 v3.5.1 vs 새 아이디어Labs—

Method Change Evaluation: SFT → GRPOLabs—

Pilot Test ResultsLabs—

Pilot Dataset Selection: ToM-SRP Functional Convergence 실험Labs—

Research-Proposal_ToM-Metacognition-Bridge_20260205Labs—

SC-SFT Dataset Selection: 포괄적 자의식 SFT를 위한 데이터셋 선정 근거Labs—

SC-TOM_Experiment_ReportLabs—

Self-Consciousness_in_LLMs_research_ideation_20260205LabsSelf-Consciousness in LLMs (LLM의 자기인식/자기의식)—

Theory of Mind & Self-Awareness: Neural Overlap SurveyLabs—

학회 투고 전략: ToM-SRP 기능적 수렴 연구Labs—

analysis_1b_qlora_crossevalLabs—

analysis_3b_qlora_crossevalLabs—

analysis_8b_baseline_comparisonLabs—

analysis_selfaware_v4_8b_crosseval_20260304Labs—

crosseval_comparisonLabs—

dataset_dissimilarity_analysisLabs—

experiment_checkpointLabs—

exploreToM-adapter-analysisLabs—

grpo_reward_analysisLabs—

실험 계획Labs—

Final Post-hoc Indicator Set — minimal reporting for paper body (4-tier)Labs—

v6 Post-Hoc 분석 파이프라인 참조 문서Labs—

LLM Squid Game — Paper 전략 브리핑 (한국어)Labs—

LLM Helpfulness Baseline — Reference BibliographyLabs—

AI-Face DB journal or Conference ListLabs—

DeepFaceLabs—

EmotiEffLibLabs—

AffectNetLabs—

vision_fer_model_evaluationLabs—

experiment_report_paligemma2Labs—

gemini2.5_flash_thinking_reportLabs—

gemma3_12b_reportLabs—

gemma3_4b_reportLabs—

gpt4o_mini_reportLabs—

human_vs_vision_model_comparisonLabs—

interim_analysis_reportLabs—

llama3.2_11b_vision_reportLabs—

paligemma2_evaluationLabs—

qwen3_vl_reportLabs—

ablation_experiment_planLabs—

cli_referenceLabs—

experiment_pipelineLabs—

human_rating_analysisLabs—

CHI26-poster(desk-reject)_KRLabs—

manuscript_VLM_emotion_2026Labs—

manuscript_VLM_emotion_2026_KRLabs—

manuscript_VLM_emotion_2026_v2Labs—

manuscript_VLM_emotion_2026_v2_KRLabs—

manuscript_VLM_emotion_2026_v3Labs—

manuscript_VLM_emotion_2026_v4Labs—

manuscript_VLM_emotion_2026_v5Labs—

manuscript_VLM_emotion_2026_v5_KRLabs—

manuscript_VLM_emotion_2026_v6Labs—

manuscript_VLM_emotion_2026_v6_changesLabs—

manuscript_VLM_emotion_2026_v7Labs—

manuscript_VLM_emotion_2026_v7_KRLabs—

manuscript_VLM_emotion_2026_v8Labs—

manuscript_VLM_emotion_2026_v8_KRLabs—

manuscript_VLM_emotion_2026_v9Labs—

manuscript_VLM_emotion_2026_v9_KRLabs—

00_title_authorsLabs—

01_abstractLabs—

02_introductionLabs—

03_related_workLabs—

04_methodsLabs—

05_resultsLabs—

05a_ablationLabs—

06_discussionLabs—

07_conclusionLabs—

08_referencesLabs—

09_supplementaryLabs—

10_appendix_venuesLabs—

code_review_reportLabs—

comprehensive_stats_codebookLabs—

시각-언어 모델은 인간 감정 평정자를 대체할 수 있는가. AI 생성 얼굴 자극에서Labs—

FaceScanPaliGemma: Multi-agent vision language models for facial attribute recognitionLabs—

Evaluating the capacity of large language models to interpret emotions in imagesLabs—

Evaluating Vision-Language Models for Emotion RecognitionLabs—

Harb et al. (2025) — GPT-4o·Gemini의 NimStim 얼굴 감정 인식 평가Labs—

Using large language models to estimate features of multi-word expressions: Concreteness, valence, arousalLabs—

Beyond Vision: How Large Language Models Interpret Facial Expressions from Valence-Arousal ValuesLabs—

Evaluating Open-Source Vision Language Models for Facial Emotion Recognition against Traditional Deep Learning ModelsLabs—

Evaluation of cross-ethnic emotion recognition capabilities in multimodal large language models using the Reading the Mind in the Eyes TestLabs—

GPT-4 Emulates Average-Human Emotional Cognition from a Third-Person PerspectiveLabs—

Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data GenerationLabs—

Affective Computing in the Era of Large Language Models: A Survey from the NLP PerspectiveLabs—

v10 Related Work — LLM/VLM 감정·Valence·Arousal 평정 선행연구 인덱스Labs—

research_proposal_emotion_vlm_20260319Labs—

ArcFaceLabs—

BERT PreTraining of Image Transformers(BEiT)Labs—

EfficientNetLabs—

EmoNetLabs2021-01-01

FaceNetLabs—

PosterV2Labs—

RetinaFaceLabs—

VGG-FaceLabs—

Mobile Vision Transformer(mobileViT)Labs—

ANC(The American National Corpus)Labs—

BNC(British National Corpus)Labs—

CELEXLabs—

COCA(Corpus of Contemporary American English)Labs—

HAL(Hyperspace Analogue to Language)Labs—

KELabs—

KF(Kučera and Francis)Labs—

SUBTLEX-UKLabs—

SUBTLEX-USLabs—

BACKUP_COMPLETION_REPORTLabs—

BACKUP_PLANLabs—

CORPUS_LOCATION_REPORTLabs—

OS_ANALYSIS_REPORTLabs—

SERVICE_MANAGEMENT_GUIDELabs—

WEBSITE_ACCESS_GUIDELabs—

manuscript(0208)Labs—

EVALUATION_REPORTLabs—

READMELabs—

Bradley-Terry Preference ModelMathematics—

Gibbs DistributionMathematics—

IntegrationMathematics—

NeuroScience Top-Tier JournalNeuroscience—

A Wizard-of-Oz Experiment to Study Phonetic Accommodation in Human-Computer InteractionPsychologyWizard-of-Oz, Phonetic Accommodation, HCI, Experimental Methodology2026-01-28

A tale of two frequency effects- Toward a verification model of L2 word recognitionPsychology—

Age- and Gender-Related Differences in Speech Alignment Toward Humans and Voice-AIPsychologyPhonetic-Convergence—

Children and adults produce distinct technology- and human-directed speechPsychologySpeech Accommodation, Voice Assistant, Alexa, Child-Adult Comparison2026-01-28

Comparing CorporaPsychologyCopora Analysis—

Comparing Phonetic Convergence in Children and AdultsPsychologyPhonetic Convergence, Developmental Differences, Speech Imitation, VOT2026-01-28

Convergence of Pitch Accents in a Shadowing TaskPsychologyPhonetic-Convergence—

Dealing with zero word frequencies- A review of the existing rules of thumb and a suggestion for an evidence-based choicePsychologyCopora Analysis—

Diverging Divergences - Examining Variants of Jensen Shannon Divergence for Corpus Comparison TasksPsychology—

Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot InteractionPsychologyPhonetic Accommodation, Human-Robot Interaction, Musical Training, L2 Speech2026-01-28

Effects of Emotional Expressiveness on Voice Chatbot InteractionsPsychologyVoice Chatbot, Emotional Prosody, TTS, User Perception, HCI2026-01-28

Effects of frequency on visual word recognition tasks- Where are they?Psychology—

Effects of polysemy in lexical decision and naming-An alternative to lexical access accountsPsychology—

Evidence for phonetic and social selectivity in spontaneous phonetic imitationPsychologyPhonetic-Convergence—

Exposure to print and word recognition processesPsychology—

Eye Movement Control During Reading- Effects of Word Frequency and Orthographic FamiliarityPsychology—

Frequency Effects in Spoken and Visual Word Recognition-Evidence From Dual-Task MethodologiesPsychology—

Frequency and neighborhood effects on lexical access- Lexical similarity or orthographic redundancyPsychology—

GIST-FACE-DB-paper_ReviewPsychology—

GIST-FACE-DB-paper_revisedPsychology—

Homographic Entries in the Internal LexiconPsychology—

In Search of New Benchmarks- Using L2 Lexical Frequency and Contextual Diversity Indices to Access Second Language WritingPsychologyCopora Analysis—

Is Natural Necessary - Human Voice versus Synthetic Voice for Intelligent Virtual AgentsPsychologySynthetic Voice, TTS, Virtual Agent, Trust, Human Voice Comparison2026-01-28

Marking Prosodic Prominence for Voice Assistant and Human AddresseesPsychologyProsodic Prominence, Voice Assistant, Audience Design, Speech Production2026-01-28

More use almost always a means a smaller frequency effect-Aging, bilingualism, and the weaker links hypothesisPsychology—

Moving beyond Coltheart’s N-A new measure of orthographic similarityPsychology—

Moving beyond Kučera and Francis- A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American EnglishPsychology—

Neighborhood size and neighborhood frequency effects in word recognitionPsychology—

On phonetic convergence during conversational interactionPsychologyPhonetic-Convergence—

On the additive effects of stimulus quality and word frequency in lexical decision- Evidence for opposing interactive influences revealed by RT distributional analysisPsychology—

On the predictive validity of various corpus-based frequency norms in L2 English lexical processingPsychologyCopora Analysis—

Phonetic accommodation to natural and synthetic voices - Behavior of groups and individuals in speech shadowingPsychologyPhonetic Accommodation, Synthetic Voice, Human-Computer Interaction2026-01-28

Phonetic convergence across multiple measures and model talkersPsychologyPhonetic-Convergence—

Phonetic convergence in the shadowing for natural and synthesized speechPsychologyPhonetic-Convergence—

Producing high-dimensional semantic spaces from lexical co-occurrencePsychology—

Proficiency versus lexical processing efficiency as a measure of L2 lexical quality- Individual differences in word‑frequency effects in L2 visual word recognitionPsychology—

Reaching for words and nonwords- Interactive effects of word frequency and stimulus quality on the characteristics of reaching movementsPsychology—

Roles of word-frequency and age of acquisition in word naming and lexical decisionPsychology—

SUBTLEX-UK - A new and improved word frequency database for British EnglishPsychology—

Semantic ambiguity and the process of generating meaning from printPsychology—

Sensorimotor learning during synchronous speech is modulated by the acoustics of the other voicePsychologySensorimotor Learning, Synchronous Speech, Phonetic Convergence, Speech Adaptation2026-01-28

Shadowing Synthesized Speech-Segmental Analysis of Phonetic ConvergencePsychologyPhonetic-Convergence—

Social Desirability as Related to Convergence of Temporal Speech PatternsPsychologyPhonetic-Convergence—

Speaking to a common tune - Between-speaker convergence in voice fundamental frequencyPsychologyF0 Convergence, Joint Speech Production, Pitch Accommodation2026-01-28

The British Lexicon Project - Lexical decision data for 28,730 monosyllabic and disyllabic English wordsPsychology—

The English Lexicon ProjectPsychology—

The Impact of L2 English Learners' Belief about an Interlocutor's English Proficiency on L2 Phonetic AccommodationPsychologyL2 Phonetic Accommodation, Interlocutor Belief, Social Factors in Convergence2026-01-28

The Word-Frequency Mirror Effect in Young, Old, and Early-Stage Alzheimer’s Disease- Evidence for Two Processes in Episodic Recognition PerformancePsychology—

The effect of corpus size in predicting reaction time in a basic word recognition task-Moving on from Kučera and FrancisPsychologyCopora Analysis—

The frequency effect in second-language visual word recognitionPsychology—

The influence of task engagement on phonetic convergencePsychologyPhonetic-Convergence—

Top-down effect of apparent humanness on vocal alignment toward human and device interlocutorsPsychologyPhonetic-Convergence—

When does irregular spelling or pronunciation influence word recognitionPsychology—

Word frequency effects in oral reading are not merely age-of-acquisition effects in disguisePsychology—

기계의 조언과 의인화 수준이 인간의 의사결정에 미치는 영향PsychologyMachine Advice, Anthropomorphism, Decision-Making, Judge-Advisor System, Personality Traits, Conscientiousness2025-01-01

A2C(Advantage Actor Critic)Reinforcement-Learning—

Actor-CriticReinforcement-Learning—

Deep Q-Network(DQN)Reinforcement-Learning—

Direct Preference Optimization(DPO)Reinforcement-Learning—

Group Relative Policy Optimization(GRPO)Reinforcement-Learning—

Inverse Reinforcement Learning(IRL)Reinforcement-Learning—

Model-Free RLReinforcement-Learning—

Model-based RLReinforcement-Learning—

Monte CarloReinforcement-Learning—

Policy GradientReinforcement-Learning—

Proximal Policy Optimization(PPO)Reinforcement-Learning—

REINFORCEReinforcement-Learning—

Reinforcement LearningReinforcement-Learning—

ReturnReinforcement-Learning—

RewardReinforcement-Learning—

SARSAReinforcement-Learning—

TDReinforcement-Learning—

Temporal DifferenceReinforcement-Learning—

ValueReinforcement-Learning—

ANCOVAStatisticsANCOVA2026-03-17

ANOVAStatisticsANOVA2026-03-17

BonferroniStatistics—

Chi-square testStatisticsChi-square test2026-03-17

Cohen's dStatisticsEffect Size - Cohen's d2026-03-17

Confidence IntervalStatisticsConfidence Interval2026-03-17

DuncanStatistics—

Dunnett T3Statistics—

DunnettStatistics—

Effect Size 개요StatisticsEffect Size2026-03-17

Eta-squaredStatisticsEffect Size - Eta-squared2026-03-17

Fisher's LSDStatistics—

Games-HowellStatistics—

Kruskal-Wallis testStatisticsKruskal-Wallis test2026-03-17

Linear Mixed Effects ModelStatisticsLinear Mixed Effects Model2026-03-17

Mann-Whitney U testStatisticsMann-Whitney U test2026-03-17

Post-hoc(사후 검정)Statistics2025-08-31

Sample Size DeterminationStatisticsSample Size Determination2026-03-17

ScheffeStatistics—

Standardized BetaStatisticsEffect Size - Standardized Beta2026-03-17

Statistical PowerStatisticsStatistical Power2026-03-17

Tamhane T2Statistics—

TuckyStatistics—

Wilcoxon signed-rank testStatisticsWilcoxon signed-rank test2026-03-17

t-testStatisticst-test2026-03-17

통계 검정법 개요StatisticsStatistical Tests2026-03-17

HCI(Human-Computer Interaction) Study(25.01)Study—

Lab-StudyStudy—

Ontology-StudyStudy—