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[XML-DEV Mailing List Archive Home] [By Thread] [By Date] [Recent Entries] [Reply To This Message] RE: Soft Landing
 There was a saying, "Between the radar screen and the fire control is and always is a human. Don't launch on acquisition of signal." Perhaps simply, Trust But Verify. One of the links I posted was to the Principia Cybernetica which is a hypertext semantic net. If XLinks are implemented with role attributes, as Eliot Kimber used to point out, you have the basic construct for semantic nets. I don't say a semantic net or expert system isn't useful. Historically they were very expensive to build and maintain and have a temporal currency problem. Also, as they grow and become intense, access issues become important. For well-understood domains without any cascading issues, they can be effective particularly as an advisory service. When Wayne Uejio (GE) worked these for CALS, they were touted as a means to capture and preserve corporate competence, that is, to protect against loss of knowledge where knowledge is considered a corporate asset. We investigated them in deep detail for IETMs. They became one of the reasons we advanced the concept of stable cooperating systems. Wayne and I spent a lot of time figuring out how these two technologies would work together. We understood markup was a key enabler. I wanted to use Hytime because links could have roles. Wayne wasn't that hot on markup but saw the sense of it as we looked into platform lifecycle and interoperation dilemmas. The network of definitions was augmented with a rules base typically constructed from interviewing domain experts. The advantage was as you say in the fuzzy domains where capturing the feel of the human expert was important for real world rules. Again, they had to be augmented with a continuously updated episodic database. They became known as learning systems and part of the general practice of creating intelligent tutoring systems. If one wants to create as Dave suggests, a toy system for XML-Dev'rs, that is a fine experiment. I'd be very critical about the top level domains and how the rules are assigned. I always felt that feeding them automagically from services such as full-text indexing and analysis was dicey. If you use semantic nets to create semantic nets, it is a bit like using an a-bomb to detonate an h-bomb. Feedback-based real time control. Not esoteric stuff, but tricky to implement well and don't fly the first one. Len Bullard Intergraph Public Safety clbullar@i... http://www.mp3.com/LenBullard Ekam sat.h, Vipraah bahudhaa vadanti. Daamyata. Datta. Dayadhvam.h -----Original Message----- From: Joshua Allen [mailto:joshuaa@m...] * a set of inference rules taken from classic object-oriented programming is not going to give necessarily good results, the inference rules should be bent to match the way we understand things and not bent to make it easy for a computer to process. WordNet has "sense of" which is key to making the semantics actually useful (at least I think so). * lots of human scrubbing * straight hierarchical (as in node-labeled graphs) relationships can give strange outcomes (at least in the lexicon I built!). WordNet is more like an edge-labeled graph with weights (I think they based weights on frequency of occurrence with some human scrubbing). Of course, I know that in the OPML/UserLand sense of outlines, outlines can link into one another, so outlines don't imply a tree structure always. In fact, I am not even close to being an expert on the topic of semantic relationships. And also concur that building a lexicon for lemmatization is not the same as a defining semantic rules for a limited test domain. Just from my own limited experience, if building inference rules in the future I would try to borrow from WordNet's ideas of "sense of" and some fuzzy weightings at a bare minimum. 
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