Dr. Deborah McGuinness is the acting director and senior research scientist
at the Knowledge Systems, (KSL)
Artificial Intelligence Laboratory at Stanford University.
She is a leading expert in knowledge representation and reasoning languages and systems
and has worked in ontology creation and evolution environments for over
20 years.
Most recently, Deborah is best known for her leadership role in semantic web research,
and for her work on ...
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Dr. Deborah McGuinness is the acting director and senior research scientist
at the Knowledge Systems, (
KSL)
Artificial Intelligence Laboratory at Stanford University.
She is a leading expert in knowledge representation and reasoning languages and systems
and has worked in ontology creation and evolution environments for over
20 years.
Most recently, Deborah is best known for her leadership role in semantic web research,
and for her work on explanation, trust, and applications of semantic web
technology, particularly for scientific applications.
Deborah is co-editor of the
Ontology Web Language which has emerged from
web ontology working group of the World Wide Web (W3C)
semantic web activity and has now achieved W3C Recommendation status.
She helped start the web ontology working group out of work
as a co-author of the
DARPA Agent Markup Language program's
DAML language. She helped form the
Joint EU/US Agent Markup Language Committee which evolved the DAML language
into the
DAML+OIL description logic-based ontology language.
She is a co-author of one of the more widely used long-lived description
logic systems
(CLASSIC) from Bell Laboratories.
Her work on languages (including
OWL,
DAML+OIL,
OIL, CLASSIC, etc.) is aimed
at providing languages that enable the next generation of web applications
moving from a web aimed at
human consumption to the semantic web aimed at machine consumption in support
of intelligent assistants and web agents.
Deborah is a leader in ontology-based tools and applications.
She is a co-author and technical leader of the Stanford KSL
ontology evolution environment.
She also consulted to help VerticalNet design and build its
Ontobuilder/Ontoserver
ontology evolution environment. She also provided technical leadership for the Stanford project
to help Cisco systems
form its ontology evolution plan for its meta data formation work.
Deborah's main research thrusts are in languages, tools, and environments
for the semantic web.
Deborah leads the Stanford
Inference Web (IW) effort.
IW provides a framework for increasing trust in answers from heterogeneous systems
by explaining how the answers were derived and what they depended on.
Inference Web supports this goal by providing infrastructure and an implemented
web-based environment for
storing, exchanging, combining, annotating, comparing, search for, validating, and
rendering proofs and proof fragments provided by reasoners and query
answering systems.
Inference web is being used as an infrastructure for explanations in a
number of DARPA, DTO, and NSF projects and in a few demonstration systems
including
the
Explainable Semantic Discovery Service and
the
KSL wine agent. Deborah led the wine agent project
as an early semantic web services demonstration system that
integrates explanation
(via Inference web), semantic web languages (via DAML+OIL and OWL), semantic web
query languages (via OWL-QL), and web services (via OWL-S).
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