Hi, >Actually, my problem is that, for instance, for a document d, Its feature >vector may be keywords and concepts.
What do you exactly mean by features vector? You are referring to the predicate - object pairs, connected to one subject node, don't you? >I don't know how to weight the two >items. Right now, i used a stupid method, given a document d, i can obtain >a rank D based on keyword method. Also, it is annotated with a concept c >(The most simple example) . People can have a rank C of these concepts in >the domain ontology, where the most relevant concepts should be the at top >of this concept list. Finally, document's rank is decided by the sum of (C >+D). I'm going to implement something like a pagerank algorithm for my search engine. In Contrast to the google approach I cannot just count the edge, of one node, because of the know semantic I can weight them. Of course this implies a knowledge of the domain ontology. For instance if there is a predicate "cited_in_document" I could rank a document higher, if it is often cited. But I'm not sure about the results... Klaus --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
