Bloomberg is looking for a Senior Ontology Engineer in New York, NY. According to the post, “The Knowledge Engineering group at Bloomberg is looking for an experienced ontologist with a strong Computer Science / Engineering background to help build sophisticated, maintainable, concept-driven models of financial, economic, business, and world events. The Knowledge Engineering group looks to allow broad access to the vast amounts of data available within the Bloomberg platform. We strive to uncover new relationships, reason about the world, and better understand the inconsistencies that underlie disparate domains. The work of the Ontology Engineer will be part of broader statistical and classical models that structure and explain what is going on, and what may happen next.” Read more
Posts Tagged ‘Bloomberg’
Additional Funding For Elasticsearch To Help Company Complement Its RealTime Search And Analytics Stack
Elasticsearch – whose Elasticsearch, Logstash and Kibana products for discovering and extracting insights from structured and unstructured data were discussed earlier this year here – has raised $70 million in Series C financing from New Enterprise Associates (NEA). Benchmark Capital and Index Ventures also participated in the round. That brings the total to $104 million over the past 18 months.
“Nearly all companies, start-ups and Fortune 500 enterprises alike, need to be able to slice and dice rapidly expanding data volumes in real time,” says Steven Schuurman, co-founder and CEO. The funding, Schuurman says, will be applied to enhancing sales, marketing and support personnel and efforts, as well as investing in development to build more complementary products that work with the ELK stack.
“Ultimately, this round of funding will help us get to our goal, faster, of making the ELK stack the de facto platform for businesses to gain actionable insights from their data,” he says.
Comprehensive support for semantic analysis across 20 languages (up from ten) is one of the latest additions to TextRazor’s customizable, open semantic analysis and text mining API, to satisfy what the startup says is increasing demand for sophisticated semantic tools that go beyond English.
The company’s technology has been in public beta for just a few months. It differs from other multilingual natural language processing solutions, says founder Toby Crayston, in that it strongly leverages linked data sources like DBpedia and the semantic web to disambiguate, normalize and filter extracted metadata with better accuracy, so that end users can build powerful multilingual classifiers regardless of the language of their documents.
Six months ago, Ontodia’s NYCFacets walked away with the win at New York City’s BigApps 3.0 conference. In the months since, the Smart Open Data Exchange that catalogs all the NYC-related data sources (which we first covered here) has been busy expanding its team, moving into the NYU-Poly hosted incubator, and getting ready to launch its Smart City platform for general use next year.
A preview of that platform will take place at the upcoming Semantic Technology & Business Conference in NYC. “We are going to our original mission of really creating that data exchange using semantic technology,” says Ontodia co-founder Joel Natividad. It’s putting the focus not on raw data or learning new technologies, but on being a linked answers marketplace – converting raw data to answers rather than just linking raw data.