6533b856fe1ef96bd12b3289

RESEARCH PRODUCT

Sub-Symbolic Semantic Layer in Cyc for Intuitive Chat-Bots

GaglioAugelloPilatoVassallo

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKnowledge representation and reasoningINFORMATIONComputer scienceLatent semantic analysisbusiness.industryConcept mapcomputer.software_genreSoftware agentSemantic layerArtificial intelligencebusinessAGENTScomputerNatural language processing

description

The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data-driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "subsymbolic semantic layer" automatically added to the Cyc ontology. Users queries can also be mapped in the same conceptual space, and evoke similar ontology concepts. As a result the agent can exploit this feature, attempting to retrieve ontological concepts that are not easily reachable by means of the traditional ontology reasoning engine.

yearjournalcountryeditionlanguage
2007-09-01
10.1109/icosc.2007.4338340http://hdl.handle.net/10447/7771