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Upcoming events (5)
at this Lotico event will give an overview of JSON-LD with a focus on changes introduced in the 1.1 version recently released as a W3C recommendation. Prior experience with JSON-LD is recommended, but not required. JSON-LD has emerged as the most widely used RDF serialization format, largely due to its adoption in the Search Engine Optimization community, but is also suitable for developers with no knowledge of Linked Data principles. For more information, see json-ld.org, where a copy of this presentation will be available along with numerous other resources on JSON-LD. Gregg Kellogg has been working on Linked Data for over ten years and has contributed to numerous RDF standards efforts, including JSON-LD, RDFa, Microdata, and CSV on the Web. Previously, Gregg has worked in areas as diverse as UNIX Operating System kernels, Media Delivery platforms, and participated in the .com frenzy of the ’90’s. Gregg also maintains the popular Structured Data Distiller http://linter.structured-data.org and RDF Distiller http://rdf.greggkellogg.net/distiller based on the Ruby RDF platform https://ruby-rdf.github.io. Gregg lives in beautiful Marin County, California with his artistic wife and two dogs where he spends whatever time remains from working on RDF projects teaching Scuba diving and photographing interesting marine life. Event Link: http://www.lotico.com/index.php/JSON_for_Linking_Data:_JSON-LD_1.1
For people who are used to think and model logical data models in UML and query with SQL it is often hard to model an ontology in e.g. OWL 2.0. The open world assumption is especially challenging. I would like to focus on best practices for breaking out of the object oriented/SQL mindset to become a master of OWL and DL Query.
Triggered by the OWL 2.0 proposal I would take the idea of discussing the different modeling paradigms from a user's perspective. We have seen different implementations, each with their own rationale. Why do you actually want to use OWL-Lite, and RDFS vocabulary, OWL2 QL or any of the other flavours. Can you show why you did this in practice and convince the others? Such a discussion forum will significantly add to the understanding of knowledge engineering (= what we are doing) and practice (=what we also (should) be doing).