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

• Systemic and Systematic
• Sarvarthapedia (Core Areas)
• Subject Guide for Human Understanding

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.
• Artha Shastra: General Administration

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.

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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

See also

• Ontology
• Systemic Study → Epistemology → Taxonomy of Knowledge
• Systems Theory
• Complexity
• Interconnectedness

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

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Sarvarthapedia Meta-Concept

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