Semantic query extension through probabilistic description logics

Jośe Eduardo Ochoa Luna, Kate Revoredo, Fabio Gagliardi Cozman

Research output: Contribution to conferenceConference Paper

1 Scopus citations

Abstract

This paper presents a novel approach for semantic query extension using a probabilistic description logic. Concepts that are related to a keyword-based query are used for finding other concepts and relations through the use of a relational Bayesian network built using the probabilistic description logic crALC. Furthermore, probabilistic assessments allow us to rank the information returned by search. Examples and issues of importance in real world applications are discussed.
Original languageAmerican English
Pages49-60
Number of pages12
StatePublished - 1 Dec 2010
Externally publishedYes
EventCEUR Workshop Proceedings -
Duration: 1 Jan 2016 → …

Conference

ConferenceCEUR Workshop Proceedings
Period1/01/16 → …

Fingerprint Dive into the research topics of 'Semantic query extension through probabilistic description logics'. Together they form a unique fingerprint.

Cite this