Hi all, I have seen some papers on "ontology matching" which is to say- apply a ML algorithm in order to "map" the semantics of two different ontologies which apply to the same object
https://homes.cs.washington.edu/~pedrod/papers/hois.pdf http://disi.unitn.it/~p2p/RelatedWork/Matching/0411csit10.pdf While the examples are not exactly the ones seek by the question, they show that the idea of combining of ML and semantic data storage is not new Hope that points towards the right direction Cheers Martin ________________________________________ From: javed khan <[email protected]> Sent: Monday, January 22, 2018 3:12 PM To: [email protected] Subject: Re: Rules and machine learning Thank you Lorenz.. Yes rules can not be consider machine learning as its a kind of hard coding and machine will not learn by itself.. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=icon> Virus-free. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=link> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> On Mon, Jan 22, 2018 at 7:35 AM, Lorenz Buehmann < [email protected]> wrote: > I've just some very minimal experience in machine learning and rule > processing... > > The important keywords here are "machine" and "learning" - if you > provide a set of rules, then there was no learning. Except by the human > who used his/her knowledge to make the rules - if it's done by a > "machine", then you can call this machine learning of such rules (e.g. > rule induction) and use the rules to "infer" data - not predict. The > rules are just a (human-readable) way to encode the machine learning model. > > But, it's off-topic for sure, thus, I will not go further into details. > > > Lorenz > > > On 21.01.2018 14:50, javed khan wrote: > > Hello > > > > I am not sure if the question is related to the jena group but I will > > appreciate the answer. > > > > I want to ask is it possible we take the functionality of machine > learning > > techniques (bayes algorithm, decision tree etc) using semantic web > rules. I > > dont know much about machine learning but I know it makes prediction > based > > on past experience/past data. > > > > Like we provide set of rules based on past data (if this, then that) and > > make predictions/optimizations. For instance, we want to make bug > > predictions in a software using Semantic rules, so is it possible?? > > > > Thank you > > > > <https://www.avast.com/sig-email?utm_medium=email&utm_ > source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=icon> > > Virus-free. > > www.avast.com > > <https://www.avast.com/sig-email?utm_medium=email&utm_ > source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=link> > > <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> > > > > >
