Title: Wikidata on MARS, or turning Wiki-data into Wiki-knowledge
Speaker: Peter F. Patel-Schneider
Abstract
Users (particularly programs) need to know far too much to reliably get the
information they need from Wikidata. So Wikidata matches its name in that
it contains data, not knowledge. An underlying formal basis can be provided
for Wikidata, turning Wiki-data into Wiki-knowledge. Getting these formal
bases used, so that Wikidata and other Knowledge Graphs contain knowledge,
is a separate matter.
Slides
Bio
Peter F. Patel-Schneider received his Ph. D. in Computer Science from the
University of Toronto in 1987. From 1983 to 1988 he was a member of the
Fairchild Laboratory for Artificial Intelligence Research and Schlumberger
Palo Alto Research. Peter then joined Bell Laboratories and remained there
until 2012 when he joined the Nuance Artificial Intelligence and Language
Laboratory. In 2019 he joined the Artificial Intelligence Center in Samsung
Research America and now works at PARC.
Peter's research interests center on representing large-scale knowledge and
information, particularly taking large amounts of data and turning it into
knowledge. He has made long-term contributions to description and
ontology logics, particularly the W3C OWL Web Ontology Language. He
developed much of OWL and its predecessor DAML+OIL, as well as SWRL, the
Semantic Web Rule Language, and RDF, the W3C language for representing data
in the Semantic Web.
Peter has recently been working on extracting semantic information from data
sources, allowing data to be more easily integrated into the Semantic Web.