Martin, thanks a lot. Its very useful for me.. I think it will be possible also to predict inconsistencies in ontologies (via machine learning). It could be my research project which is about to start but the problem is I cant find anything related on the web. The following is a paper which used "inconsistency detection" but not used ML.
[1] https://hpi.de/fileadmin/user_upload/fachgebiete/meinel/papers/Web_3.0/2012_Toepper_ISEM.pdf <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 6:52 PM, Martin Vachovski < [email protected]> wrote: > 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> > > > > > > > > > >
