semantic-web

There is probably an easy to answer to this, but I can't even figure out how to formulate the Google query to find it. I'm writing SPARQL construct queries against a dataset that includes blank nodes. So if I do a query like CONSTRUCT {?x ?y ?z .} WHERE {?x ?y ?z .} Then one of my results might be: nm:John nm:owns _:Node Which is a problem if all of the _:Node nm:has nm:Hats triples don't also get into the query result somehow (because some parsers I'm using like rdflib for Python really don't like dangling bnodes). Is there a way to write my original CONSTRUCT query to recursively add all

Do you know some paper or algorithm in NLP that is able to extract sentences from text that are related to given entity (term). I would like to process some reviews (mainly tech), but I found out that many reviews mention more then one product (they do comparation). I would like to extract from that text just sentences that are relevant to one product, or delete sentences that are irrelevant to particular named entity (product). My questin is how to do it? Is there some related papers? Is something like this done by some toolkit or api? What you want is a Named Entity Recognizer (NER). Given

I just start to learn Semantic Web and have a question about restriction class. I dug a while but haven't found any answer yet.. Any help would be much appreciated! From text book, I see examples of define restriction class, they are all about to define a anonymous owl:Restriction class bnode and link this bnode with property owl:equivalentClass . example: example:restrictionClass owl:equivalentClass [ rdf:type owl:Restriction; owl:onProperty example:resProp; owl:someValuesFrom example:resValue. ] My question is can we define a restriction class directly? Like: example:restrictionClass rdf

I have been stuck for two days now trying to understand why the following scenario isn't working: screenshots here: http://dl.dropbox.com/u/4677548/screenshots.html I have a VegetarianFood class (subclass of Food) that is equivalent to "Food and (Eggs or MilkAndDerivates or VeganFood)" as you can see in the screenshot number 1 The VeganFood class, on turn, is equivalent to other classes (NutsAndSeeds, Cereals, Fruit, etc...) screenshot 2 as you can see there are two individuals (cheddar cheese and cashew) created as MilkAndDerivates and NutsAndSeeds screenshot 3 and they are correctly inferred