Browsing Data Science Institute by Subject "Reasoning"
Now showing items 1-3 of 3
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Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper
(2013)This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. ... -
A Non-traditional Inference Paradigm for Learned Ontologies
(CEUR Workshop proceedings, 2007) -
Scalable Authoritative OWL Reasoning on a Billion Triples
(2008)In this paper we present a scalable algorithm for performing a subset of OWL reasoning over web data using a rule-based approach to forward-chaining; in particular, we identify the problem of ontology hijacking: new ...