RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS.

ABSTRACT: Analogical reasoning depends fundamentally on the ability to learn and generalize about relations between objects. We develop an approach to relational learning which, given a set of pairs of objects S = {A⁽¹⁾ : B⁽¹⁾, A⁽²⁾ : B⁽²⁾, …, A^(N) : B^(N)}, measures how well other pairs A : B fit in with the set S. Our work addresses the following question: is the relation between objects A and B analogous to those relations found in S? Such questions are particularly relevant in information retrieval, where an investigator might want to search for analogous pairs of objects that match the query

SUBMITTER: Silva R 

PROVIDER: S-EPMC3935415 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature