- From: Jingwei Huang <jingwei.huang@utoronto.ca>
- Date: Fri, 19 Dec 2003 12:06:37 -0500
- To: "Chris Bizer" <chris@bizer.de>, <www-rdf-interest@w3.org>
- Cc: "Mark S. Fox" <msf@eil.utoronto.ca>
Hi, Chris, I agree with you. Perhaps, the people interesting in the topic should get together to have a workshop in ISWC or other conferences. > There really seam to be some people spread around the world working on the > topic. > I think there should be more exchange between the different groups. A thing > I try to facilitate a little bit by maintaining the Semantic Web Trust and > Security Resource Guide: > http://www.wiwiss.fu-berlin.de/suhl/bizer/SWTSGuide/index.htm Many thanks ! > > A paper on uncertain KP is in revision and will be available very soon. > > > Please give me a hint, when it is available. I will inform you when it's available. > Reading your paper about Dynamic Knowledge Provenance I'm wondering about 2 > things: > > 1. Context and role based trust: Your approach relies on explicit trust > statements (as nearly all approaches within the Semantic Web community). In > real live may trust decisions are based on context and roles. Like "Trust > all doctors in the medical domain" or "Trust people about web programming if > they have worked for at least 3 web programming projects". This kind of > stuff I tried to capture with my cQL query language. How to you model > context and role based trust? Do you use rules for deriving explicit trust > statements from context and roles? In our research plan, "Context and role based trust" related issues like "Authority", are included in our level 4: judgment-based KP. In Library and Information Science community, internet information resource evaluation criteria are developed. But most of them are supposed to be used by people. At this moment, I don't know how far we can go to formalize those criteria to make them be able to be handled by computers. > 2. Scaling of trust: In your trusted_truth_value(a,x,v) statements you are > using the trust scaling of "Trusted", "Untrusted" and "Unkown". For many > applications I think more fine grained trust scalings are necessary. Lets > say you have to choose a subcontractor and you think most of them will do it > , but some will deliver better quality. Most theories from social science > state that trust should be handled as a continuum. How do you handle the > whole topic of information ranking? Is there a general tendency in > logic-based approaches to skip information ranking? I think there were some > interesting ideas about ranking in [1]. How do Web-of-Trust mechanisms with > more fine grained trust stateings fit into your model? In Level 3: uncertain KP, we have used "trust degree" to represent uncertain trust relations, and "certain degree" to represent uncertain truth values. Uncertain KP paper should be available very soon. -- Jingwei
Received on Friday, 19 December 2003 12:16:46 UTC