Understanding News Using the Bloomberg Knowledge Graph - Speaker Deck
News and the global capital markets are inextricably linked. Recent developments in machine learning, knowledge graphs, and language technology have enabled increasingly intelligent ways to obtain a market advantage based on real-world events. This talk details how Bloomberg uses these technologies to quickly understand and respond to major world events in order to predict when or how breaking business news will move markets – and why.
[1905.09519] The African Wildlife Ontology tutorial ontologies: requirements, design, and content
Background. Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as...
Never mind the logix: taming the semantic anarchy of mappings in ontologies | Monkeying around with OWL
Mappings between ontologies, or between an ontology and an ontology-like resource, are a necessary fact of life when working with ontologies. For example, GO provides mappings to external resources…
The Semantic Web identity crisis: in search of the trivialities that never were | Ruben Verborgh
For a domain with a strong focus on unambiguous identifiers and meaning, the Semantic Web research field itself has a surprisingly ill-defined sense of identity. Started at the end of the 1990s at the intersection of databases, logic, and Web, and influenced along the way by all major tech hypes such as Big Data and machine learning, our research community needs to look in the mirror to understand who we really are…
Semantic Frames and Word Embeddings at Google - Go Fish Digital
Google may use Semantic Frames to better pre-train natural language when processing it to improve query understanding, word & sentence prediction & search.
Semantic Technologies for Integrating Demand Response Data - RESPOND
Renewable Energy Sources (RES) are increasingly penetrating the energy production side, and in combination with DR programs and improvement in energy storage options, could contribute to significantly reduce peak demands: Semantic Technologies for Demand Response
The Practitioner's Guide to Graph Data - O'Reilly Media
How do you apply graph thinking to solve complex problems? With Practitioners Guide to #Graph #Data @DeniseKGosnell @MBroecheler show #datascientists how to think about data as graph, techniques for building scalable, real-time, multimodel architectures
Wikidata - Largest Crowdsourced Open Data Knowledge Graph | Talks 2019
Welcome to PyCon India CFP Technical talks are the most important event at PyCon India, the core of the conference essentially. Two of the four days are dedicated to talks. Talks are short lectures (30 min slot) supported by a presentation. Speakers come from the Python community. Talks are selected through a CFP (Call For Proposals) process. Interested members of the community propose their talks. An editorial panel designated by the organizers makes the selections. The 2018 edition of the conference saw some 267 proposals, of which 31 were selected. CFP applications from the previous year...
Should a Graph Database Be in Your Next Data Warehouse Stack? | Transforming Data with Intelligence
As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?
Crowdsourcing the Quality of Knowledge Graphs:A DBpedia Study
Summary of crowdsourcing studies to assess the quality of knowledge graphs and complete missing values. Results focus on findings over the DBpedia knowledge gr…
From Wikipedia to Thousands of Wikis – The DBkWik Knowledge Graph
From a bird eye's view, the DBpedia Extraction Framework takes a MediaWiki dump as input, and turns it into a knowledge graph. In this talk, I discuss the crea…
Cray Inc. Signs Agreement to Be Acquired by Hewlett Packard Enterprise, to accelerate the global adoption of Cray’s supercomputer technology in the Exascale era. | Cray Blog
Connect with us and learn about the latest news and solutions around high performance computing, supercomputing, AI, big data and more.
natanael.arndt.xyz: Decentralized Collaborative Knowledge Management using Git (Extended Abstract)
Collaboration of people and machines is a major aspect of the World Wide Web and as well of the Semantic Web. As a result of the collaboration process, structural and content interferences as wel…