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User ratings of ontologies: Who will rate the raters?
Conference Proceeding
Reference:
N. F. Noy, R. V. Guha, M. A. Musen. Proceedings of the AAAI 2005 Spring Symposium on Knowledge Collection from Volunteer Contributors, Stanford, CA, American Association for Artificial Intelligence (www.aaai.org). Published in 2005.
Abstract:

The number of ontologies and knowledge bases covering
different domains and available on the World-Wide
Web is steadily growing. As more ontologies are available,
it is becoming harder, and not easier, for users
to find ontologies they need. How do they evaluate
if a particular ontology is appropriate for their task?
How do they choose among many ontologies for the
same domain? We argue that allowing users on the
Web to annotate and review ontologies is an important
step in facilitating ontology evaluation and reuse
for others. However, opening the system to everyone
on the Web poses a problem of trust: Users must be
able to identify reviews and annotations that are useful
for them. We discuss the kinds of metadata that
we can collect from users and authors of ontologies in
the form of annotations and reviews, explore the use of
an Open Rating System for evaluating ontologies and
knowledge sources, and present a brief overview of a
Web-based browser for Prot´eg´e ontologies that enables
users to annotate information in ontologies.

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Information last updated: Sat Jun 2 2007
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