6533b872fe1ef96bd12d3750

RESEARCH PRODUCT

Convergence of Web 2.0 and Semantic Web: A Semantic Tagging and Searching System for Creating and Searching Blogs

Salvatore GaglioGiovanni PilatoGiorgio VassalloAgnese Augello

subject

Latent semantic analysisbusiness.industryComputer sciencecomputer.software_genreFeature (linguistics)Knowledge baseSemantic similaritySoftware agentSimilarity (psychology)OntologyUpper ontologyArtificial intelligencebusinesscomputerNatural 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 "sub- symbolic 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
2007-09-01International Conference on Semantic Computing (ICSC 2007)
https://doi.org/10.1109/icsc.2007.95