Sarvarthapedia Knowledge Graph: Mapping All Fields of Knowledge and Human Experience

Ultimate Interconnected System of All Knowledge

The Sarvarthapedia Knowledge Graph is conceived as a universal, structured, and interconnected system of human knowledge, modeled in a manner, where entities (concepts) are linked through relationships (associations, hierarchies, functions, and dependencies). Each element of knowledge exists as an entity, defined by its attributes and connected to other entities through relationships such as classification, dependency, causation, function, similarity, and influence, forming a multi-layered semantic network.

At the foundational level, the system begins with core primitives of knowledge, including Existence, Life, Matter, Energy, Consciousness, Information, and Causation. These act as root nodes from which all other domains emerge. Life connects to Biology, which connects to Physiology, Genetics, and Evolution, while also linking to Medicine, Health, and Disease. Consciousness connects to Psychology, Cognitive Science, and Philosophy, and further branches into Emotion, Perception, Awareness, and Decision Making. Information connects to Mathematics, Logic, and Computer Science, forming the backbone of structured reasoning and computation.

The Health and Vital System Layer represents a critical integration point between physical and functional knowledge. Health is defined as a state of systemic balance and is linked to Homeostasis, Nutrition, Exercise, and Mental Stability. Disease is linked to Pathology, Symptoms, and Diagnosis, forming a causal chain where disturbances in biological systems lead to observable effects. These nodes connect further to Pharmacology, Therapy, and Preventive Care, illustrating the transition from understanding to intervention. The concept of a regulating force, interpreted functionally, connects to System Control Mechanisms such as the Nervous System and Endocrine System, bridging traditional and modern interpretations of bodily regulation.

Knowledge and Power form another foundational relationship, where understanding causes enables control over effects. This node connects Scientific Method, Experimentation, Technology Development, and Decision Making. The Scientific Method links to Hypothesis, Observation, Data Analysis, and Conclusion, which then connect to all empirical sciences including Physics, Chemistry, and Biology.

Again the Scientific Knowledge Cluster is structured hierarchically and relationally. Physics connects to Mechanics, Thermodynamics, Optics, and Quantum Physics, each of which further connects to applied domains such as Engineering and Technology. Chemistry connects to Atomic Structure, Chemical Reactions, and Material Properties, and serves as a bridge between Physics and Biology through Biochemistry. Biology connects to Cell Biology, Ecology, and Evolutionary Theory, while also linking to Medicine and Environmental Science. These scientific domains are unified through shared methodologies such as Observation, Experimentation, Measurement, and Modeling, which are themselves nodes connected to Scientific Method.

Domains of General Knowledge

The next major layer consists of the Domains of General Knowledge, each represented as a major node with extensive subgraphs:

Science Domain includes Physics, Chemistry, Biology, and Earth Science.

Physics connects to Mechanics, Thermodynamics, Electromagnetism, and Quantum Theory.
Chemistry connects to Organic Chemistry, Inorganic Chemistry, and Biochemistry, which links directly to Biology.
Biology connects to Genetics, Evolution, Anatomy, and Physiology, which further connect to Medicine.

The Mathematics and Logic Layer functions as a universal connector across the graph. Mathematics includes Algebra, Geometry, Calculus, Probability, and Statistics, each linked to specific applications: Calculus connects to Physics and Engineering, Statistics connects to Economics, Social Sciences, and Data Science, and Logic connects to Philosophy, Computer Science, and Artificial Intelligence. This layer enables abstraction and quantitative reasoning, acting as the structural framework underlying multiple domains.

Technology Domain includes Computer Science, Artificial Intelligence, Information Systems, and Communication Technologies.

Computer Science connects to Programming, Data Structures, and Algorithms.
Artificial Intelligence connects to Machine Learning, Neural Networks, and Natural Language Processing, which in turn link to Cognitive Science and Linguistics.

Social Sciences Domain includes History, Geography, Economics, Political Science, and Sociology.

History connects to Civilizations, Events, and Cultural Evolution.
Economics connects to Markets, Trade, Finance, and Resource Allocation.
Political Science connects to Governance, Law, and Public Policy.
Law connects to Legal Systems, Rights, Justice, and Regulation.

Arts and Humanities Domain includes Literature, Music, Visual Arts, Film, and Philosophy.

Literature connects to Language, Narrative, and Cultural Expression.
Music connects to Sound Theory, Mathematics, and Emotion.
Visual Arts connect to Design, Aesthetics, and Perception.
Philosophy connects to Ethics, Metaphysics, and Epistemology, which in turn link back to all knowledge domains.

Indian Arts System

The 64 Indian Arts System is embedded as a multi-domain applied knowledge network, illustrating the integration of skills across categories. Singing, Instrument Playing, and Dancing connect to Music, Performance, and Cultural Studies. Writing and Drawing connect to Literature, Visual Arts, and Communication. Crafts such as Carpentry and Tailoring connect to Engineering, Design, and Material Science. Gardening connects to Biology and Environmental Science. Strategic skills such as solving puzzles connect to Logic and Mathematics, while martial skills connect to Physical Training, Biomechanics, and Defense Systems. Each art acts as a node that bridges multiple higher-level domains, reinforcing the interconnected structure.. Each art is a node connected to broader categories:

Performing Arts: Singing, Dancing, Acting → linked to Music, Theater, Expression, and Psychology.
Crafts and Skills: Carpentry, Tailoring, Gardening → linked to Engineering, Design, and Material Science.
Social Skills: Communication, Etiquette → linked to Sociology, Psychology, and Human Interaction.
Strategic Skills: Puzzles, Games, Martial Arts → linked to Logic, Mathematics, and Physical Training.
Scientific Skills: Knowledge of materials, perfumes, and gems → linked to Chemistry and Geology.

Each of these arts is not treated as isolated but as a multi-domain connector, reinforcing the idea that practical knowledge integrates multiple disciplines.

The Philosophical Classification Layer organizes knowledge by its nature and function. Theoretical Knowledge connects to Science and Mathematics, focusing on understanding universal principles. Practical Knowledge connects to Engineering, Crafts, and Technology, focusing on application. Ethical and Practical Wisdom connects to Ethics, Decision Making, and Social Behavior, guiding action in real-world contexts. Additional classifications include Logic and Inquiry, which connects to Critical Thinking and Analysis; Cultural Knowledge, which connects to Traditions and Arts; Economic Knowledge, which connects to Trade and Resource Management; and Governance Knowledge, which connects to Law and Political Systems..

Theoretical Knowledge (Episteme) connects to Science, Mathematics, and Philosophy.
Practical Knowledge (Techne) connects to Engineering, Crafts, and Technology.
Wisdom (Phronesis) connects to Ethics, Decision Making, and Human Behavior.

Similarly, another classification includes Logic and Inquiry, Cultural Knowledge, Economic Knowledge, and Governance, each acting as meta-nodes linking multiple subject areas.

A defining feature of the Sarvarthapedia system is the Inner Knowledge and Human Condition Cluster, which integrates internal experience into the same graph. Emotions such as Fear, Anger, Happiness, and Grief connect to Psychology, Neuroscience, and Behavioral Science. Mental Health connects to Depression, Stress, Therapy, and Well-being, linking to both Medicine and Social Systems. Personality and Identity connect to Self-Concept, Behavior Patterns, and Social Interaction, bridging Psychology and Sociology. Cognitive Functions such as Memory, Attention, and Decision Making connect to Brain Science, Artificial Intelligence, and Learning Systems..

This domain includes:

Mental States: Emotions, Stress, Anxiety → linked to Psychology and Neuroscience.
Personality and Identity: Self-concept, Behavior → linked to Sociology and Cognitive Science.
Cognitive Functions: Memory, Attention, Decision Making → linked to Brain Science and Artificial Intelligence.
Ethics and Morality: Right and Wrong, Responsibility → linked to Philosophy, Law, and Culture.
Personal Development: Discipline, Focus, Goals → linked to Productivity, Education, and Behavioral Science.

This inner domain is directly connected to external domains. For example, Decision Making connects to Economics, Business, and Politics; Emotions connect to Art, Communication, and Relationships; Mental Health connects to Medicine and Social Systems.

The graph also includes Communication Systems, which act as connectors across all domains. These include Language, Writing, Media, and Digital Communication. Every knowledge node is linked to communication methods, enabling transmission, storage, and interpretation of information.

The Activity and Application Layer includes Sports, Games, Cooking, and Daily Skills. Sports connect to Physics, Biology, and Health Science. Games connect to Mathematics, Strategy, and Psychology. Cooking connects to Chemistry, Nutrition, and Culture. These nodes demonstrate the practical application of knowledge in everyday life.

Sports connect to Physics, Biology, and Health Sciences.
Games connect to Mathematics, Strategy, and Psychology.
Cooking connects to Chemistry, Culture, and Nutrition.

Structurally, the Sarvarthapedia Knowledge Graph is composed of entities (nodes), relationships (edges), domains (clusters), and classification layers (meta-structures). It supports multiple modes of navigation: entity lookup, relationship tracing, path discovery, and domain exploration. A user can begin with any concept and traverse through its connections to explore related knowledge across disciplines. It supports multiple types of queries:

Entity-based queries (What is X?)
Relationship queries (How is X related to Y?)
Path queries (How does X connect to Z through intermediate nodes?)
Category queries (What belongs to this domain?)

Unlike traditional systems, it allows multi-directional navigation, meaning a user can start from any concept and explore outward through its connections.

In structural terms, the graph consists of:

Nodes: Concepts, subjects, entities
Edges: Relationships (causal, hierarchical, associative)
Clusters: Domains, categories and Glossaries
Meta-layers: Classification systems and knowledge types

The state of Knowing

The ultimate purpose of the Sarvarthapedia Knowledge Graph is to represent all knowledge—scientific, artistic, practical, and internal—as a single interconnected system, where every concept, experience, and insight exists not in isolation but as part of a unified relational whole. It seeks to map not only the external domains of science, technology, arts, law, and society, but also the internal dimensions of mind, awareness, cognition, and human experience, bringing them into one coherent structure. In doing so, it does not merely organize information; it trains the mind to perceive connections, to move from fragmented understanding toward integrated knowing.

From this integrated structure emerges the state of Knowing, where knowledge is no longer a collection of separate facts but a continuous field of awareness, where relationships between ideas are directly perceived. In this state, the observer understands not only what is known, but also how it is known, and why it is connected. The Sarvarthapedia system, by presenting knowledge as a graph of interdependent entities, gradually refines cognition, enabling the mind to operate in patterns, structures, and relationships rather than in isolated data points. This is the transition from information to knowledge, and from knowledge to awareness of knowledge.

Beyond this lies a higher and more subtle state: the observation of the Knowing itself. Here, the focus shifts from objects of knowledge to the process of knowing, and further to the observer of that process. This is not an extension of knowledge in quantity, but a transformation in its quality. The system thus becomes not just a repository of knowledge, but a preparatory framework for meta-awareness, where the mind begins to examine its own operations—its perceptions, interpretations, and assumptions.

This transition reflects a profound philosophical movement expressed in the Vedic tradition as “Athato Brahma Jigyasa”, articulated in the Brahma Sutra of Badarayana. In this context, it is not merely a question about an external absolute called Brahman, but the arising of a superior, sovereign mode of inquiry itself—a state in which questioning becomes fundamental, primary, and self-aware. The emphasis is not on receiving answers, but on the quality and depth of questioning, where inquiry becomes an instrument of direct realization.

The term Jigyasa can be understood as a layered expression: “Ji” as life or living presence, “Gya” as knowing or awareness, and “Sa” as completeness or fullness. Thus, Jigyasa is not simple curiosity; it is the complete, living observation of the state of knowing, a dynamic and sustained engagement with reality. In this sense, the question itself becomes the highest expression, not a means to an answer but an unfolding of awareness.

This idea is more deeply resonant with the spirit of the Nasadiya Sukta of the Rigveda, where the inquiry into existence is carried to its extreme limit. The hymn does not assert definitive conclusions; instead, it sustains a profound and open questioning:

नासदासीन्नो सदासीत्तदानीं नासीद्रजो नो व्योमा परो यत् ।
किमावरीवः कुह कस्य शर्मन्नम्भः किमासीद्गहनं गभीरम् ॥

न मृत्युरासीदमृतं न तर्हि न रात्र्या अह्न आसीत्प्रकेतः ।
आनीदवातं स्वधया तदेकं तस्माद्धान्यन्न परः किं चनास ॥

तम आसीत्तमसा गूळ्हमग्रेऽप्रकेतं सलिलं सर्वमा इदम् ।
तुच्छ्येनाभ्वपिहितं यदासीत्तपसस्तन्महिनाजायतैकम् ॥

कामस्तदग्रे समवर्तताधि मनसो रेतः प्रथमं यदासीत् ।
सतो बन्धुमसति निरविन्दन्हृदि प्रतीष्या कवयो मनीषा ॥

तिरश्चीनो विततो रश्मिरेषामधः स्विदासीदुपरि स्विदासीद् ।
रेतोधा आसन्महिमान आसन्स्वधा अवस्तात्प्रयतिः परस्तात् ॥

को अद्धा वेद क इह प्रवोचत्कुत आजाता कुत इयं विसृष्टिः ।
अर्वाग्देवा अस्य विसर्जनेनाथा को वेद यत आबभूव ॥

इयं विसृष्टिर्यत आबभूव यदि वा दधे यदि वा न ।
यो अस्याध्यक्षः परमे व्योमन्सो अङ्ग वेद यदि वा न वेद ॥

Here, the questioning does not resolve into certainty; it culminates in a higher-order awareness of uncertainty itself, where even the knower is questioned. This is the essence of Brahma Jigyasa—not a search for fixed answers, but a movement into the depth of questioning, where the distinction between knower, knowing, and known begins to dissolve.

The Sarvarthapedia Knowledge Graph, in its ultimate intention, functions as a cognitive and structural preparation for this transition. By organizing all knowledge into a unified, relational system, it disciplines the mind to see wholes instead of fragments, patterns instead of isolated events, and connections instead of separations. This structured clarity creates the necessary ground for the emergence of deeper inquiry.

Thus, the purpose of Sarvarthapedia is not merely informational or educational; it is transformational. It begins with the mapping of all knowledge, advances into the state of integrated knowing, and ultimately prepares the mind for the state of observing the knowing, where inquiry becomes self-luminous and complete. In that state, the question itself is Brahma, and the act of questioning is no longer directed outward alone, but reflects a total, sovereign awareness that encompasses both the universe of knowledge and the consciousness that seeks to understand it.

Core Architecture: Sarvarthapedia Knowledge Graph

The Sarvarthapedia Knowledge Graph is structured as a multi-layered, cross-referenced conceptual network, where every entity is linked through definable relationships, forming a continuously navigable system of knowledge. Each concept exists within clusters yet remains accessible through associative pathways, enabling non-linear exploration and contextual understanding.

Core Nodes (Root Concepts)

Existence
Life
Matter
Energy
Consciousness → Tanmoy Bhattacharyya on Consciousness
Information
Causation

Foundational Knowledge Layer

Existence

Connected to:

Reality
Time
Space
Matter
Consciousness

See also:

Metaphysics
Ontology
Cosmology

Life

Connected to:

Biology
Evolution
Genetics
Physiology
Ecology

See also:

Medicine
Health
Environment

Consciousness

Connected to:

Awareness
Perception
Cognition
Emotion
Decision Making

See also:

Psychology
Cognitive Science
Philosophy of Mind

Information

Connected to:

Mathematics
Logic
Data
Communication
Computation

See also:

Computer Science
Knowledge Systems → Knowledge Engineering
Information Theory

Health and Vital Systems Cluster

Health

Connected to:

Homeostasis
Nutrition
Exercise
Mental Stability

See also:

Preventive Care
Lifestyle Science
Public Health

Disease

Connected to:

Pathology
Symptoms
Diagnosis

See also:

Medical science → Medicine and Drug
Pharmacology
Therapy

System Regulation

Connected to:

Nervous System
Endocrine System
Feedback Mechanisms

See also:

Control Systems
Physiology Mental Disorder
Neuroscience

Scientific Knowledge Cluster

Physics

Connected to:

Mechanics
Thermodynamics
Electromagnetism
Quantum Physics

See also:

Engineering
Applied Physics
Energy Systems

Chemistry

Connected to:

Atomic Structure
Chemical Reactions
Material Properties

See also:

Biochemistry
Materials Science
Industrial Chemistry

Biology

Connected to:

Cell Biology
Genetics
Evolution
Ecology

See also:

Medicine
Environmental Science
Biotechnology

Scientific Method

Connected to:

Observation
Experimentation
Measurement
Modeling

See also:

Research Methods
Data Analysis
Validation

Mathematics and Logic Layer

Mathematics

Connected to:

Algebra
Geometry
Calculus
Statistics

See also:

Physics
Engineering
Economics

Logic

Connected to:

Reasoning
Proof
Argumentation

See also:

Philosophy
Artificial Intelligence
Computation

Statistics

Connected to:

Probability
Data Analysis
Prediction

See also:

Economics
Social Sciences
Machine Learning

Technology and Computational Cluster

Computer Science

Connected to:

Algorithms
Data Structures
Programming
Software Systems

See also:

Artificial Intelligence
Data Science
Information Systems

Artificial Intelligence

Connected to:

Machine Learning
Neural Networks
Natural Language Processing

See also:

Cognitive Science
Robotics
Automation

Information Systems

Connected to:

Databases
Networks
Cybersecurity

See also:

Digital Infrastructure
Communication Systems
Cloud Computing

Social and Institutional Knowledge Cluster

History

Connected to:

Chronology → Indian Chronology
Civilizations
Cultural Evolution

See also:

Anthropology
Archaeology
Heritage Studies

Economics

Connected to:

Production
Distribution
Markets
Finance

See also:

Behavioral Economics
Decision Theory
Business

Political Science

Connected to:

Governance → Politics → Political Parties → Contemporary Indian Politics
Public Policy
International Relations → International Politics

See also:

Law → International Law → Indian Law
Administration → Dharmic Administration
Political Theory → Manifesto of the Communist Party

Law

Connected to:

Rights
Justice
Regulation

See also:

Legal Systems → Basic Law → Constitution → Constitutional Law → Unconstitutional Law →
Ethics
Governance

Arts and Cultural Expression Cluster

Literature

Connected to:

Language
Narrative
Culture

See also:

Philosophy
History
Communication

Music

Connected to:

Sound Theory
Rhythm
Emotion

See also:

Mathematics
Performance
Culture

Visual Arts

Connected to:

Design
Color Theory
Perception

See also:

Aesthetics
Architecture
Media

Film and Media

Connected to:

Storytelling
Technology
Communication

See also:

Cultural Studies
Psychology
Digital Media

The 64 Arts Integrated Network

Performing Arts

Connected to:

Music
Dance
Theater

See also:

Expression
Culture
Communication

Crafts and Skills

Connected to:

Carpentry
Tailoring
Design

See also:

Engineering → Civil Engineering
Material Science
Architecture

Strategic and Intellectual Skills

Connected to:

Logic
Mathematics
Games

See also:

Problem Solving
Decision Making
Analysis

Scientific and Material Arts

Connected to:

Chemistry
Materials
Ornamentation

See also:

Applied Science
Design
Craftsmanship

Philosophical Classification Layer

Theoretical Knowledge

Connected to:

Science
Mathematics
Principles

See also:

Epistemology
Logic
Research

Practical Knowledge

Connected to:

Engineering
Crafts
Technology

See also:

Application
Skill
Production

Ethical and Practical Wisdom

Connected to:

Ethics
Decision Making
Behavior

See also:

Philosophy
Law
Social Systems

Inner Knowledge and Human Condition Cluster

Emotions

Connected to:

Fear
Anger
Happiness
Grief

See also:

Psychology
Neuroscience
Behavior

Mental Health

Connected to:

Stress
Depression
Therapy

See also:

Medicine
Well-being
Social Systems

Personality and Identity

Connected to:

Self-Concept
Behavior
Social Interaction

See also:

Sociology
Psychology
Culture

Cognitive Functions

Connected to:

Memory
Attention
Decision Making

See also:

Brain Science
Artificial Intelligence
Learning

Self-Regulation and Personal Development

Discipline

Connected to:

Habits
Focus
Goals

See also:

Productivity
Education
Behavioral Science

Ethics and Morality

Connected to:

Philosophy
Law
Culture

See also:

Responsibility
Justice
Values

Relationships

Connected to:

Communication
Emotion
Social Structures

See also:

Sociology
Psychology
Interaction

Communication and Language Layer

Language

Connected to:

Linguistics
Cognition
Culture

See also:

Literature
Communication
Education

Communication Systems

Connected to:

Media
Writing
Speech

See also:

Information Flow
Digital Communication
Networks

Activity and Application Layer

Sports

Connected to:

Physics
Biology
Health

See also:

Performance
Training
Physiology

Games

Connected to:

Strategy
Mathematics
Psychology

See also:

Logic
Decision Making
Simulation

Cooking

Connected to:

Chemistry
Nutrition
Culture

See also:

Health
Lifestyle
Tradition

Meta-Layer: Knowledge Navigation and Structure

Entities

Connected to:

Concepts
Objects
Processes

Relationships

Connected to:

Causation
Hierarchy
Association

Domains

Connected to:

Clusters
Categories
Disciplines

Navigation Methods

Connected to:

Entity Lookup
Relationship Tracing
Path Discovery
Domain Exploration

See also:

Knowledge Representation
Graph Theory
Semantic Networks → Google Knowledge Graph

Higher Cognitive Transition Layer

State of Knowing

Connected to:

Integrated Knowledge
Awareness
Pattern Recognition

See also:

Cognition
Intelligence
Insight

Observation of Knowing

Connected to:

Meta-Cognition
Self-Awareness
Reflective Thought

See also:

Consciousness
Philosophy of Mind
Inquiry

Brahma Jigyasa (Higher Inquiry State)

Connected to:

Questioning
Observation
Awareness of Knowing

See also:

Fundamental Inquiry
Origin of Knowledge
Nature of Reality

This cross-referenced structure transforms Sarvarthapedia into a self sustain knowledge web, where every concept is embedded within a network of meaning, allowing continuous traversal across scientific, artistic, social, and internal domains, ultimately guiding the movement from knowledge accumulation to integrated knowing, and further toward the observation of knowing itself.