ProbOnto

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

ProbOnto topic overview

The analysis highlights Products, Knowledge base and Overview as prominent areas in the source structure around ProbOnto.

Related topics: 30
Source areas: 5
Connected nodes: 35
Extracted relationships: 42
Concept neighborhoods: 16
Bridge connections: 35

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 15 topics

Knowledge base · 8 topics

Introduction · 5 topics

Ontology · 1 topics

ProbOnto in PharmML · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Duration: 2015 –
Keywords: Statistics, Probability distribution
Objective: Design, implement and maintain knowledge base and ontology of probability distributions.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Knowledge base
Ontology Ontology (information science)
Probability distributions Probability distribution
Uni Univariate distribution
Multivariate distributions Multivariate distribution
Mixture distributions Mixture distribution
Normal distribution
Mean
Standard deviation
Variance
Precision Precision (statistics)
Log-normal distribution
Median
Coefficient of variation
Geometric standard deviation

Introduction

Nonlinear-mixed effect models Mixed model
Pharmacometrics
Innovative Medicines Initiative
Count Count data
Time-to-event Survival analysis

Knowledge base

Probability density Probability density function
Mass Probability mass function
Cumulative distribution Cumulative distribution function
Hazard Hazard function
Survival Survival function
Parameter Statistical parameter
Support Support (mathematics)
LaTeX

Ontology

Conceptual schema

ProbOnto in PharmML

Poisson distribution

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How ProbOnto connects Entity context

The extracted context around ProbOnto shows recurring relationship patterns in the source. For example, ProbOnto → An OWL, At, BioSharing, For, In, Jena API, OLS, OLS API, Ontology Lookup Service, Output, PowerLoom, The, The OWL, This Another extracted example is ProbOnto → Lambda, Model, More, P0, Poisson, This, To. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Ontology · 14

ProbOnto → An OWL, At, BioSharing, For, In, Jena API, OLS, OLS API, Ontology Lookup Service, Output, PowerLoom, The, The OWL, This

related to Use example · 7

ProbOnto → Lambda, Model, More, P0, Poisson, This, To

related to Introduction · 5

ProbOnto → DDMoRe, However, Innovative Medicines Initiative, Pharmacometrics Markup Language, PharmML

related to Relationships · 2

ProbOnto → Version, While

Duration · 1

ProbOnto → 2015 –

Keywords · 1

ProbOnto → Statistics, Probability distribution

Objective · 1

ProbOnto → Design, implement and maintain knowledge base and ontology of probability distributions.

Website · 1

ProbOnto → probonto.org

is a · 1

ProbOnto → knowledge base and ontology of probability distributions

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

distribution distributions ontology knowledge base probability formulas relationships parameters website tools pharmml alternative parameterizations also models functions model different following

ProbOnto relationships Subject–Predicate–Object triples

TTTA extracted 42 structured relationships around ProbOnto. Examples in this analysis include ProbOnto → Duration → 2015 – and ProbOnto → Keywords → Statistics, Probability distribution. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
ProbOnto	Duration	2015 –	1.00	infobox
ProbOnto	Keywords	Statistics, Probability distribution	1.00	infobox
ProbOnto	Objective	Design, implement and maintain knowledge base and ontology of probability distributions.	1.00	infobox
ProbOnto	Website	probonto.org	1.00	infobox
ProbOnto	is a	knowledge base and ontology of probability distributions	0.90	text
mean	instance of	hazard and survival functions.Related quantities	0.80	text
median	instance of	hazard and survival functions.Related quantities	0.80	text
mode	instance of	hazard and survival functions.Related quantities	0.80	text
variance.Parameter	instance of	hazard and survival functions.Related quantities	0.80	text
support/range definitions	instance of	hazard and survival functions.Related quantities	0.80	text
distribution type.LaTeX	instance of	hazard and survival functions.Related quantities	0.80	text
R code for mathematical functions.Model definition	instance of	hazard and survival functions.Related quantities	0.80	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around ProbOnto bring nearby vocabulary together. In this analysis, examples include Also, Encoding and Models. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

knowledge base
- Base
- Knowledge
- Ontology
- Probability
- Available
- Stores
- Probonto
- Distributions
- Also
- Alternative
- Example
- Mean
probability distributions
- Relationships
- Alternative
- Functions
- Parameterizations
- Univariate
- Distribution
- Probonto
- Ontology
- Distributions
- Example
- Probability
- Also
normal distribution
- Probability
- Example
- Normal
- Mean
- Parameterizations
- See
- Variance
- Ontology
- Parameters
- Relationships
- Different
- Following
log-normal distribution
- Probability
- Example
- Normal
- Ontology
- Parameters
- Relationships
- Functions
- Using
- Knowledge
- Distributions
- Probonto
- Available
cumulative distribution
- Probability
- Example
- Normal
- Ontology
- Parameters
- Relationships
- Functions
- Using
- Knowledge
- Distributions
- Probonto
- Available
poisson distribution
- Probability
- Example
- Normal
- Ontology
- Parameters
- Relationships
- Functions
- Using
- Knowledge
- Distributions
- Probonto
- Available
probonto in pharmml
- Also
- Encoding
- Probability
- Models
- Relationships
- Project
- See
- Available
- Functions
- Re-parameterization
- Stores
- Univariate
ProbOnto
- Also
- Encoding
- Models
- Relationships
- Available
- Re-parameterization
- See
- Stores
- Univariate
- Version
- Pharmml
- Tools

Connections between topic areas Semantic bridges

For ProbOnto, one of the stronger structural bridges in this analysis connects ProbOnto with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

ProbOnto — Overview · splits 20 ⟂ 16

ProbOnto — Knowledge base · splits 27 ⟂ 9

ProbOnto — Introduction · splits 30 ⟂ 6

Map overview Semantic statistics

ProbOnto

Nodes36

Edges35

Triples42

Avg. degree1.94

Density0.055556

Components1

Source & methodology

TTTA analyzes the structure around ProbOnto to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Knowledge base & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — ProbOnto · EN edition · Analysis: TopicsToTalkAbout