- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Wed, 17 Jun 2020 07:49:31 +0800
- To: Mike Bergman <mike@mkbergman.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=So4_8ayZw0Y-gC5otzEConGhf+xaE=8=f8yp4Hq6VR5_w@mail.gmail.com>
Thank you Mike, looks like a big interesting project, congrats for the release Now, the problem I have with wikipedia is that in addition to containing good articles sometimes, it is not fact checked, there is a lot of rubbish/false information (true, there is quite a lot of rubbish outside of wikipedia too). A few of questions: how often is the data pulled/updated from these databases? Is the data stored in sql or how? How does the system manage the integration of different data sets/data structures? can you share the design of the inference model/reasoning architecture? what are the implications/useful lessons for KR we can learn from this project? On Tue, Jun 16, 2020 at 10:27 PM Mike Bergman <mike@mkbergman.com> wrote: > To All, > > I am pleased to announce that we have released KBpedia > <http://kbpedia.org/> v 2.50 with e-commerce and logistics capabilities, > as well as significant other refinements. This upgrade comes from adding > the entire top structure and the most common products and services of the > United Nations Standard Products and Services Code. UNSPSC > <https://en.wikipedia.org/wiki/UNSPSC> is a comprehensive, multi-lingual > taxonomy for products and services, organized into four levels, with > third-party crosswalks to economic and demographic data sources. It is a > leading standard for many industrial and economic applications. UNSPSC is > KBpedia's seventh core knowledge base, joining the public knowledge bases > of Wikipedia <https://en.wikipedia.org/wiki/Wikipedia>, Wikidata > <https://en.wikipedia.org/wiki/Wikidata>, GeoNames > <https://en.wikipedia.org/wiki/GeoNames>, DBpedia > <https://en.wikipedia.org/wiki/DBpedia>, schema.org > <https://en.wikipedia.org/wiki/Schema.org>, and OpenCyc > <https://en.wikipedia.org/wiki/Cyc> already integrated into the system. > > KBpedia is a knowledge graph that provides a coherent scaffolding to > achieve its twin goals of data interoperability and knowledge-based > artificial intelligence (KBAI <http://www.mkbergman.com/category/kbai/>). > KBpedia now contains more than 58,000 reference concepts and nearly 200,000 > unique mappings to its knowledge bases, enabling links to more than 40 > million entities. It is written in the standard OWL 2 > <https://en.wikipedia.org/wiki/Web_Ontology_Language> semantic language > from the W3C <https://en.wikipedia.org/wiki/World_Wide_Web_Consortium>. > > KBpedia consists of 73 mostly disjoint typologies organized under an upper > KBpedia Knowledge Ontology (KKO), which is designed according to the > universal categories and knowledge representation insights of the great > American 19th century scientist, logician, and polymath, Charles Sanders > Peirce <https://en.wikipedia.org/wiki/Charles_Sanders_Peirce>. KBpedia, > KKO, and all of its mappings and files are open source under the Creative > Commons Attribution 4.0 International (CC BY 4.0) > <https://creativecommons.org/licenses/by/4.0/> license. > > For more details, see the release announcement > <http://kbpedia.org/resources/news/kbpedia-adds-ecommerce/> or go to > Github <https://github.com/Cognonto/kbpedia/blob/master/versions/2.50/> > to download <http://kbpedia.org/resources/downloads/> the distro. > > Thanks, Mike >
Received on Tuesday, 16 June 2020 23:50:22 UTC