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Sex, Privacy and Ontologies
SEXI-2013 workshop at WSDM-2013
Tuesday, February 5, 2013 at 11am
Presented by Adriel Dean-Hall

Abstract:

Personal profiling has long had negative connotations because of its historical association with societal discrimination. Here we re-visit the topic with an ontology driven approach to personal profiling that explicitly describes preferences and appearances. We argue that explicit methods are superior to vendor-side inferences and suggest that privacy can be maintained by both exchanging preferences independently from identity and only sharing preferences relevant to the transaction. Futhermore this method is an oppourtunity for additional sales through the support of anonymous 'drive by' shopping that preserve privacy. We close by reviewing the computational advantages of accurate profiling and how the ontology can be applied to complex real world situations.

Creating specialized ontologies using Wikipedia: The Muninn Experience
Wikipedia Academy 2012
Paper Session III, Saturday June 30, 10:30-11:30

Abstract:

This paper reports on the experiences of the Muninn project in creating specialized ontologies for historical governmental and military organizations using the Wikipedia data set and its linked open data companion DBpedia.  The motivation for the ontologies and the extraction methods used are explained and their performances reviewed.  Overall Wikipedia is a very accurate knowledge base from which multilingual concepts can be extracted.  The caveat is that while the information is almost always present, it is not always straightforward to retrieve because of missing structures or categorization information. Hence, an iterative methodology has been found to work best in extracting information from Wikipedia.