6533b7dbfe1ef96bd126ff37

RESEARCH PRODUCT

Sub-symbolic Mapping of Cyc Microtheories in Data-Driven “Conceptual” Spaces

Giorgio VassalloAgnese AugelloGiovanni PilatoMario ScriminaciSalvatore Gaglio

subject

business.industryComputer scienceSimilarity (psychology)Conceptual spaceArtificial intelligenceOntology (information science)Layer (object-oriented design)businesscomputer.software_genrecomputerNatural language processingData-driven

description

The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wants to insert in the microtheory. Experimental results involving two Cyc microtheories are also reported.

yearjournalcountryeditionlanguage
2007-09-11
https://doi.org/10.1007/978-3-540-74819-9_20