> On 16 Jun 2019, at 09:16, Dieter Fensel <dieter.fensel@sti2.at> wrote: > > 1) World view: It is very hard to think on useful rules that hold on a global scale. > 2) System view: A system with million of rules and trillions of facts will never scale in the foreseeable future of the 21st century. Not even during the building and knowledge curation phase. This is where I believe we need a new paradigm that blends symbolic and statistical approaches so that we can use machine learning from large corpora. This is needed to address the incompleteness, uncertainty and inconsistency, something this is inevitable as things scale up massively. As knowledge workers we will become curators and teachers, rather than directly working on knowledge representations. An analogy is translating between human languages where statistical approaches have proved highly effective. Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett W3C Data Activity Lead & W3C champion for the Web of things
Received on Sunday, 16 June 2019 09:34:20 UTC