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Ontological Semantics — Reference Index

Sergei Nirenburg and Victor Raskin (2004). MIT Press.

A comprehensive approach to the treatment of text meaning by computer. Ontological semantics is an integrated complex of theories, methodologies, descriptions, and implementations centered on a world model (ontology) as the central resource for extracting and representing meaning.

FileChapterPagesSummary
00-prefacePreface2-5Overview of the theory, methodology, and descriptions that comprise ontological semantics. Introduces the “society of microtheories” architecture.
01-introductionCh. 1: Introduction6-27Foundational concepts: the intelligent agent model, static knowledge sources (ontology, fact database, lexicon, onomasticon), dynamic knowledge sources (analyzer, generator), and the concept of microtheories.
02-philosophy-of-linguisticsCh. 2: Philosophy of Linguistics28-81Philosophy of science applied to computational linguistics. Theory components (purview, premises, body, justification), parameters of linguistic semantic theories.
03-meaning-in-linguisticsCh. 3: Meaning in Linguistics82-99Positioning ontological semantics relative to formal semantics, cognitive linguistics, and computational linguistics traditions.
04-lexical-semanticsCh. 4: Lexical Semantics100-115Choices for lexical semantic representation: word senses, polysemy, synonymy, and the ontological semantic approach to lexicon construction.
05-formal-ontologyCh. 5: Formal Ontology116-130Philosophical and formal approaches to ontology: metaphysics, ontological categories, inheritance hierarchies, properties, relations, and the distinction between ontology and natural language.
FileChapterPagesSummary
06-meaning-representationCh. 6: Meaning Representation131-154Text Meaning Representation (TMR): format, structure, propositional content, attitudes, discourse relations, and the process of meaning construction.
07-static-knowledge-sourcesCh. 7: Static Knowledge Sources155-203The ontology (concepts, properties, relations, inheritance), the fact database (instances), the lexicon (word-to-concept mappings), and the onomasticon (proper nouns). Core data structures of the framework.
08-processingCh. 8: Processing204-256Semantic text analysis: preprocessing, syntactic analysis, semantic analysis (basic and extended), and the control architecture for the analyzer.
09-acquisitionCh. 9: Knowledge Acquisition257-295Methodologies for acquiring ontological knowledge, lexicon entries, and fact database content. Semi-automated acquisition tools and workflows.
10-conclusionCh. 10: Conclusion296-297Summary and future directions for ontological semantics.
bibliographyBibliography298-328Complete bibliography of cited works.

The following chapters are most directly relevant to the Strategos.Ontology layer (see platform-architecture.md section 4.14):

  • Ch. 5 (Formal Ontology) — Ontological categories, inheritance hierarchies, property types, and relations. Maps to our Object Types, Links, and Properties.
  • Ch. 7 (Static Knowledge Sources) — The ontology’s internal structure (concepts as frames with property-value pairs), the fact database (instance patterns), and the lexicon (semantic mappings). Maps to our ComposedOntology, IOntologyQuery, cross-domain links, and interface system.
  • Ch. 1 (Introduction) — Foundational concepts: the agent model, knowledge architecture, and the role of ontology in constraining agent action spaces.
  • Ch. 6 (Meaning Representation) — TMR structure and the process/state representation model. Relevant to our Lifecycle and Action primitives.

See ontology-theoretical-grounding.md for the formal analysis mapping these concepts to our ontology layer.