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Scone Knowledge Base

School of Computer Science. Scone Knowledge Base. Scott E. Fahlman April 14, 2005. Goals for Scone. Build a practical “knowledge base” (KB) engine and toolkit that can be used in any number of applications. Semantic network model: nodes are entities, links are statements.

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Scone Knowledge Base

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  1. School of Computer Science Scone Knowledge Base Scott E. Fahlman April 14, 2005

  2. Goals for Scone • Build a practical “knowledge base” (KB) engine and toolkit that can be used in any number of applications. • Semantic network model: nodes are entities, links are statements. • Emphasis on scalability and ease of use. • A few million entities and relations on a high-end workstation. • Parallelizable if you want more. • Implemented in Common Lisp, runs on 32-bit or 64-bit workstations. • Will release as open-source, with a tutorial book. • Alicia Tribble (Ph.D. student) working on NL input of knowledge.

  3. Current Cabilities • Multiple-inheritance hierarchy with exceptions. • Efficient detection of type violations. • Mapping of concepts to words is many-to-many. • User-defined roles and relations. • Can attach meta-knowledge to any node or link. • Multiple contexts: hierarchical & lightweight. • Can represent numerical weights and probabilities. • Programmer-level document. • Current “core” KB is minimal. • Machinery for episodic memory exists, but is minimal.

  4. Multiple Contexts • Each link (statement) in SCONE is tied to the context in which it is true. • Contexts form an inclusion hierarchy. Each starts as a clone, then adds or cancels some information. • To activate a context, mark it and all included contexts, then mark all active statements. Only these link are active. • So multiple contexts are efficient, lightweight, and heavily used for reasoning about alternative states of the universe, real or hypothetical. (“What if…”) • The multiple-context mechanism is used to implement actions and events.

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