by Angela Guess According to a new press release, “Ontotext is proud to release the latest 8.1 version of its signature semantic graph database, GraphDB, which makes knowledge discovery faster and richer than before. GraphDB is the...Show More Summary
Alphabet’s Google unit announced today that it now offers specialized search and its knowledge graph in Bengali, one of the most common languages spoke in India after Hindi and English. Indeed, Bengali is the sixth most widely spoken language on the planet, according to Google, and is spoken by about 200 million people. It’s ranked […]
There are many methods available via SPARQL and SWRL to narrow or broaden knowledge graph searches in order to target the best focused results. Some of these methods are described in this article.
The use of semsets -- that is, any label that draws attention to a given thing, such as synonyms -- are a best practice for characterizing the nodes and edges in a knowledge graph. Semsets reinforce the idea of "things not strings" in enabling a KG to be a common understanding of a shared domain.
A new version of KBpedia was released that added 40% in new scope from Wikipedia. The additions were made possible by a new knowledge graph alignment method called 'reciprocal mapping' that is based on graph embeddings, machine learning, and other artificial intelligence techniques. Show More Summary
I am proud to announce the immediate release of the KBpedia Knowledge Graph version 1.40. This new version of the knowledge graph includes 53,739 concepts which is 14,687 more than with the previous version. It also includes 251,848 new alternative labels for 20,538 previously existing concepts in the version 1.20, and 542 new definitions. Show More Summary
A new method of ontology alignment is presented for knowledge graphs, called reciprocal mapping. The idea is to enhance a target knowledge base (in this case, KBpedia) with local graph structure and content from an external source knowledge base (in this case, Wikipedia) in order to fill gaps in the source. Show More Summary
This article deals with browsing the KBpedia knowledge structure, found under the Knowledge Graph main menu link on the Cognonto Web site. The article is a first in a new series covering non-machine learning use cases, already covered elsewhere, of the KBpedia knowledge graph.
Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01.2017, Ivan Ermilov will present his work on automatic mappings of tables to knowledge graphs, which was published as TAIPAN:...Show More Summary
When Google launched its Knowledge Graph back in 2012, it was hailed by users and marketers alike as a breakthrough in search. Instead of sifting through page after page of results, you could instead get the detailed information you needed – and by extension, everything else you might want to know about the topic – […]
Posted by Jason Douglas, PM Director for Actions on Google The Google Assistant brings ogether all of the technology and smarts we've been building for years, from the Knowledge Graph to Natural Language Processing. To be a truly successful Assistant, it should be able to connect users across the apps and services in their lives. Show More Summary
Recent Slideshow Posted on KBpedia Last week I gave a presentation to the Ontolog Forum on Cognonto, with specific reference to the KBpedia knowledge structure. I am pleased to now post this presentation online: Context, Perspective, and Generalities in a Knowledge Ontology from Mike Bergman As a standard method, the Forum routinely records the audio […]
Google's knowledge graph card tests a feature that lets you like or dislike movies and TV shows. For example, when you search for "It's a Wonderful Life", you can click like or dislike and check the percentage of Google users who liked it. Show More Summary
The upper ontology for the KBpedia knowledge graph, the KBpedia Knowledge Ontology (KKO), has been updated to better capture the terminology of Charles Sanders Peirce and his universal categories to capture predicates (relations and attributes).
The U.S. Department of Veterans Affairs (VA) has signed a five-year deal with San Francisco, CA-based Flow Health to build a medical knowledge graph with deep learning to inform medical decision-making and train artificial intelligence (AI) to personalize care plans. Flow Health is building the world’s largest knowledge graph of medicine and genomics from over... Read More
Tweet Dissertation Proposal Dealing with Dubious Facts in Knowledge Graphs Ankur Padia 1:00-3:00pm Wednesday, 30 November 2016, ITE 325b, UMBC Knowledge graphs are structured representations of facts where nodes are real-world entities or events and edges are the associations among the pair of entities. Show More Summary