Amit Chowdhry of Forbes reports, “This week, Facebook is adding the ability to search for keywords contained within posts, photos, articles and videos that were shared with you. Facebook’s semantic Graph Search features like the ability to search for the phrases “My friends that work at Facebook” and “Photos of my friends” has not changed. Facebook launched Graph Search in beta last year. Facebook decided to add the post search feature after receiving feedback from users… ‘With a quick search, you can get back to a fun video from your graduation, a news article you’ve been meaning to read, or photos from your friend’s wedding last summer,’ said Tom Stocky.” Read more
Posts Tagged ‘Facebook’
Facebook is looking for a Partner Engineer – Data Applications in Menlo Park, CA. According to the post, “Partner Engineering is a highly technical team that works with our strategic partners to integrate Facebook Platform into their Web sites, applications, and devices. This role demands an in-depth understanding of complex issues related to semantics, data modeling, platform architecture, full-stack application development, and technical leadership and management. The ideal candidate will have 15+ years of professional data analysis and systems architecture experience, including both relational database and semantic modeling work. This position is based in our Menlo Park office.” Read more
These vistas will be explored in a session hosted by Kevin Ford, digital project coordinator at the Library of Congress at next week’s Semantic Technology & Business conference in San Jose. The door is being opened by the Bibliographic Framework Initiative (BIBFRAME) that the LOC launched a few years ago. Libraries will be moving from the MARC standards, their lingua franca for representing and communicating bibliographic and related information in machine-readable form, to BIBFRAME, which models bibliographic data in RDF using semantic technologies.
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.
Facebook is looking for a Software Engineer, Natural Language Processing in Menlo Park, CA. The post states, “Facebook is seeking an Natural Language Processing Engineer to join our engineering team in Menlo Park. The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data. Individuals in this role should be experts in machine learning and have experience working on machine translation, word-sense disambiguation, topic modeling, etc. The candidate will help Facebook build products that support idiomatic user input and expression in more than 70 languages, for products such as Open Graph, News Feed, and Search.” Read more
A couple of weeks back The Semantic Web Blog reported on research from SEO optimization vendor Searchmetrics about the virtues of semantic markup. Now the 2014 Content Search Marketers Survey, which recently came out from enterprise SEO platform vendor Brightedge, adds some more interesting statistics to show about what matters to optimized search.
Among them: Half of the respondents consider a page/content-based approach to driving page traffic, conversions and revenue as being much more important for SEO in 2014 than in 2013. Another 50 percent said it would be more or as important this year than last.
“The page-based approach to SEO in the world of secure search is important for 100 percent of SEOs, and 85 percent stated that it would be more or much more important for them in 2014,” the report states. “SEOs are also still focused on the business impact of the keyword (90 percent), though the shift in focus to the page leaves only 50% percent stating that measuring the business impact of the keyword will be more important in 2014.”
Brandon Bailey of San Jose Mercury News reports, “The latest Silicon Valley arms race is a contest to build the best artificial brains. Facebook, Google and other leading tech companies are jockeying to hire top scientists in the field of artificial intelligence, while spending heavily on a quest to make computers think more like people. They’re not building humanoid robots — not yet, anyway. But a number of tech giants and startups are trying to build computer systems that understand what you want, perhaps before you knew you wanted it. ‘It’s important to position yourself in this market for the next decade,’ said Yann LeCunn, a leading New York University researcher hired to run Facebook’s new A.I. division in December. ‘A lot is riding on artificial intelligence and content analysis, and on being smarter about how people and computers interact’.” Read more
This week saw schema.org introduce vocabulary that enables websites to describe the actions they enable and how these actions can be invoked, in the hope that these additions will help unleash new categories of applications, according to a new post by Dan Brickley.
This represents an expansion of the vocabulary’s focus point from describing entities to taking action on these entities. The work has been in progress, Brickley explains here, for the last couple of years, building on the http://schema.org/Action types added last August by providing a way of describing the capability to perform actions in the future.
The three action status type now includes PotentialActionStatus for a description of an action that is supported, ActiveActionStatus for an in-progress action, and CompletedActionStatus, for an action that has already taken place.
Learning at large-scale. That’s the work Declara is undertaking with its CognitiveGraph platform that leverages semantic search, social platforms and predictive analytics to build context-specific learning pathways for the individuals involved in mass learning efforts. Think, for example, of teachers in a country working to re-educate all its educators, or retail and manufacturing workers in parts of the world who need new skill sets because machines have taken on the work these people used to do.
Adults don’t have the luxury of just being focused on learning, so “we try to help them learn more effectively and quickly, using the CognitiveGraph as a way of knowing where to start from and how to get them to positive outcomes faster,” says co-founder and CEO Ramona Pierson. Its intelligent learning platform will determine what mentors and information exist within a closed private network or on the Web relative to supporting a user’s learning needs; what of all that will be the best fit for a particular user; and then match that learner to the best pathway to acquire the new skills. Among the technologies Declara is leveraging is Elasticsearch (which the Semantic Web Blog discussed most recently here) realtime search and analytics capabilities to turn data into insights.
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