KSL-94-46 + redirect page
Retrieving Semantically Distant Analogies + Has identifier
Retrieving Semantically Distant Analogies + Ksl tr id
Retrieving Semantically Distant Analogies + Number
| Retrieving Semantically Distant Analogies |
Bibtype
techreport
Has publishing details
1994
Has title
Retrieving Semantically Distant Analogies
Has where published
KSL-94-46
Has year
1994
Title
Retrieving Semantically Distant Analogies
Year
1994
Abstract
Techniques that have traditionally been us … Techniques that have traditionally been useful for retrievingsame-domain analogies from small single-use knowledge bases, such asspreading activation and indexing on selected features, are inadequatefor retrieving cross-domain analogies from large multi-use knowledgebases. Blind or near-blind search techniques like spreadingactivation will be overwhelmed by combinatorial explosion as thesearch goes deeper into the KB. And indexing a large multi-use KB onsalient features is impractical, largely because a feature that may beuseful for retrieval in one task may be useless for another task. Thisthesis describes Knowledge-Directed Spreading Activation (KDSA), amethod for retrieving analogies in a large semantic network. KDSAuses task-specific knowledge to guide a spreading activation search toa case or concept in memory that meets a desired similarity condition.The thesis also describes a specific instantiation of this method forthe task of innovative design.KDSA has been validated in two ways. First, a theoretical model ofknowledge base search demonstrates that KDSA is tractable forretrieving semantically distant analogies under a wide range ofknowledge base configurations. Second, an implemented system that usesKDSA to find analogies for innovative design shows that the method isable to retrieve semantically distant analogies for a real task.Experiments with that system show trends as the knowledge base sizegrows that suggest the theoretical model's prediction of largeknowledge base tractability is accurate. geknowledge base tractability is accurate.
Note
May 1994 STAN-CS-94-1515.
Author
Michael Wolverton +
Has author
Michael Wolverton +
Has identifier
Retrieving Semantically Distant Analogies +
Institution
Stanford University +
Ksl tr id
Retrieving Semantically Distant Analogies +
Number
Retrieving Semantically Distant Analogies +
Process note
NO +
Categories KSL Technical Report +, Publication +, Technical Report +
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