- From: Brent Shambaugh <brent.shambaugh@gmail.com>
- Date: Wed, 15 Feb 2017 18:21:12 -0600
- To: Martynas Jusevičius <martynas@graphity.org>
- Cc: Sebastian Samaruga <ssamarug@gmail.com>, pragmaticweb@lists.spline.inf.fu-berlin.de, Semantic Web <semantic-web@w3.org>, public-rww <public-rww@w3.org>
- Message-ID: <CACvcBVpPv6e4jm-xijoET=rmBLYT6Htaoiq7mYf8qzeN_Qxx2Q@mail.gmail.com>
On Wikipedia: "A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted facts or axioms. The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by means of an ontology language, and often a description logic language" CWM, which is part of SWAP mentioned earlier, uses a forward chaining reasoner where someone specifies rules and then uses the --think or --rules option when running with cwm. (refer to cwm --help). The link I provided earlier to swap, https://www.w3.org/2000/10/swap/doc/Processing is a bit dated. If you'd like the latest stuff, go to https://github.com/linkeddata/swap . In a broader perspective, here is a list of resources compiled for the semantic web domain : Indiana.edu Semantic Course: http://info.slis.indiana.edu/~dingying/Z636Fall2014.html University of Edinbergh Semantic Web Systems book https://www.inf.ed.ac.uk/teaching/courses/sws/ University of Georgia Semantic Web Course http://lsdis.cs.uga.edu/SemWebCourse_files/SemWebCourse.htm FAU Semantic Web Course http://semanticweb.fau.edu/ Lehigh University Semantic Web Course http://www.cse.lehigh.edu/~heflin/courses/sw-2013/ UNB Semantic Web Techniques Course https://www.cs.unb.ca/~boley/cs6795swt/syllabus.html Université Jean-Monnet Semantic Web Course http://www.emse.fr/~zimmermann/Teaching/SemWeb/ Linked Data Tools.com Semantic Web Basics http://www.linkeddatatools.com/semantic-web-basics University of Mannheim Semantic Web Technologies Course http://dws.informatik.uni-mannheim.de/en/teaching/ courses-for-master-candidates/cs660semanticwebtechnologies/ Finland Semantic Web and Ontology Engineering Course http://www.cs.jyu.fi/ai/vagan/itks544.html TDT-44 Semantic Web Course https://www.ntnu.no/wiki/display/idiemner/TDT-44+Semantic+Web University of Rome -Knowledge Representation and Semantic Technologies http://www.dis.uniroma1.it/~rosati/krst/ University of Koblenz Semantic Web Course https://west.uni-koblenz.de/en/studium/lehrveranstaltungen/ss14/ semantic-web/semantic-web Euclid Project http://euclid-project.eu/ Dr. Harald Sack, Linked Data Engineering - OpenHPI https://open.hpi.de/courses/semanticweb2016 Linked Data Book - Tom Heath, Christian Bizer http://linkeddatabook.com/editions/1.0/ What is Linked Data? - Manu Sporny https://www.youtube.com/watch?v=4x_xzT5eF5Q&t=108s -Brent Shambaugh GitHub: https://github.com/bshambaugh Website: http://bshambaugh.org/ LinkedIN: https://www.linkedin.com/in/brent-shambaugh-9b91259 Skype: brent.shambaugh Twitter: https://twitter.com/Brent_Shambaugh On Wed, Feb 15, 2017 at 11:53 AM, Brent Shambaugh <brent.shambaugh@gmail.com > wrote: > Rules can be put into the file to infer new facts. There are inference > engines and reasoning engines. I'm not sure what the difference is, > but I think this link to swap might be getting close? > -Brent Shambaugh > > GitHub: https://github.com/bshambaugh > Website: http://bshambaugh.org/ > LinkedIN: https://www.linkedin.com/in/brent-shambaugh-9b91259 > Skype: brent.shambaugh > Twitter: https://twitter.com/Brent_Shambaugh > > > On Wed, Feb 15, 2017 at 11:50 AM, Brent Shambaugh > <brent.shambaugh@gmail.com> wrote: > > Perhaps this is useful? I was looking a reasoning the other day: > > > > https://www.w3.org/2000/10/swap/doc/Processing > > > > -Brent Shambaugh > > > > GitHub: https://github.com/bshambaugh > > Website: http://bshambaugh.org/ > > LinkedIN: https://www.linkedin.com/in/brent-shambaugh-9b91259 > > Skype: brent.shambaugh > > Twitter: https://twitter.com/Brent_Shambaugh > > > > On Wed, Feb 15, 2017 at 6:03 AM, Martynas Jusevičius < > martynas@graphity.org> > > wrote: > >> > >> Sebastian, > >> > >> nothing is inferred magically. However if you add explicit rules to > >> your domain model, you can get both equivalence and ordering. > >> > >> Have you looked at the RDF, RDFS, OWL, SPARQL specifications? Here are > >> some pointers: > >> https://www.w3.org/TR/owl-primer/#Equality_and_ > Inequality_of_Individuals > >> https://www.w3.org/TR/rdf-schema/#ch_collectionvocab > >> > >> On Wed, Feb 15, 2017 at 12:43 PM, Sebastian Samaruga < > ssamarug@gmail.com> > >> wrote: > >> > OK. But sorry again for my lack of knowledge but does this mean that > >> > 'semantic' inference of the kind of 'inferring' that: > >> > > >> > http://somedomain.net/people/John > >> > (is the same as) > >> > http://anotherdomain.com/staff/Juan > >> > > >> > is not possible without resorting in previous knowledge or > dictionaries > >> > or, > >> > even worst, NLP over those URIs? Not even to mention 'inferring' > >> > identity > >> > between 'The capital of France' and 'Paris' or 100cm / 1meter. > >> > > >> > Another kind of inference that simply concatenating datasets just not > >> > solve > >> > is that of 'ordering': > >> > > >> > Joe takes his car out. > >> > Joe washes his car. > >> > Joe takes his car in. > >> > > >> > How if the statements comes in any order one could reason about the > >> > correct > >> > sequence. This will be indispensable for propositional like logic and > >> > inference. > >> > > >> > Best, > >> > Sebastián. > >> > > >> > > >> > > >> > > >> > On Feb 14, 2017 4:20 PM, "Martynas Jusevičius" <martynas@graphity.org > > > >> > wrote: > >> >> > >> >> Sebastian, > >> >> > >> >> I think it is useful to think about the merge operation between > >> >> datasets. > >> >> > >> >> Here I mean a "physical" merge, where records with the same > >> >> identifiers become augmented with more data, when multiple datasets > >> >> are merged together. A "logical", or "semantic" merge, with > vocabulary > >> >> mappings etc., comes on top of that. > >> >> > >> >> So if you take the relational or XML models, there is no generic way > >> >> to do that. With RDF, there is: you simply concatenate the datasets, > >> >> because they have a stable structure (triples) and built-in global > >> >> identifiers (URIs). > >> >> > >> >> That said, you should try approaching things from another end: start > >> >> building a small but concrete solution and solve problems one by one, > >> >> instead of overthinking/reinventing the top-down architecture. Until > >> >> you do that, you will probably not get relevant advice on these > >> >> mailing lists. > >> >> > >> >> On Tue, Feb 14, 2017 at 6:21 PM, Sebastian Samaruga > >> >> <ssamarug@gmail.com> > >> >> wrote: > >> >> > Sorry for me being so ignorant. But what could be called 'semantic' > >> >> > (in > >> >> > the > >> >> > sense of 'meaning', I suppose) for the current frameworks, at least > >> >> > the > >> >> > couple I know, available for ontologies of some kind if they could > >> >> > assert > >> >> > between their instances which statements and resources are > equivalent > >> >> > (being > >> >> > them in a different language/encoding or different 'contextual' > terms > >> >> > for > >> >> > the same subjects for example). > >> >> > > >> >> > Another important lack of 'semantics' is ordering (temporal or > >> >> > whatsoever) > >> >> > where a statement or resource should be treated at least in > relation > >> >> > to > >> >> > their previous or following elements. > >> >> > > >> >> > If my last posts where so blurry is because I try to address some > of > >> >> > this > >> >> > issues, besides others, trying no to fall in the promise that > >> >> > adhering > >> >> > to > >> >> > one format will free us all of any interoperability hassles. > Remember > >> >> > a > >> >> > similar promise from XML: "All we have to do is share DTDs and > >> >> > interoperate". I'll still trying to give the format a twist (RDF > >> >> > Quads) > >> >> > but > >> >> > I'll publish a Google Document open for comments. > >> >> > > >> >> > Best, > >> >> > Sebastián. > >> >> > > >> > > >
Received on Thursday, 16 February 2017 00:21:48 UTC