BAE Systems is searching for an entry level Software Engineer in San Diego, CA. According to the post, “BAE Systems is looking for an Entry Level Software Engineer. The qualified candidate will have the opportunity to design and develop software platforms and mission applications for intelligence and defense customers with domain emphasis on Geospatial Intelligence, Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR), and Mission Management. The qualified candidate will work in a rapid development environment as part of a multi-disciplinary team. Tasks can include software coding, debugging, and integrating.” Read more
Benjamin Spiegel of Marketing Land reports, “Historically, consumers have used Google for research in every step of the purchasing process, all the way up the sales funnel… In recent years, however, we have observed some interesting changes in customer behavior — one of the main ones being that consumers are starting to favor native search over Google search for lower-funnel terms. This is something retailers can take advantage of during the upcoming holiday shopping season — and, indeed, year-round.So what exactly is native search? Native search is the search functionality inside the different platforms or websites. Simply put, it’s the search box on e-retail sites like Amazon, Walmart and CVS, or in category sites like Edmunds and Newegg.” Read more
Mary Branscombe of Tech Radar recently wrote, “We had the opportunity to interview Roger Barga, one of the architects of the Azure ML, Microsoft’s machine learning cloud service, to discuss various aspects of the system. ‘The ranking algorithm that’s in our regression module, the same one running Bing search and serving up ranked results,’ Barga told TechRadar Pro. ‘It’s our implementation on Azure but all the heuristics and know-how came from the years of experience running it. The same recommendation module we have in Azure ML is the same recommendation module that serves up in Xbox what player to play against next.’ Azure ML can look at a document, work out what it’s about and look those topics up on Bing. ‘We can say this is a company, this is a person, this is a product,’ explains Barga. ‘That’s the same way Delve will find documents and discussions and messages that you’ll want to see’.” Read more
In mid-July Dataversity.net, the sister site of The Semantic Web Blog, hosted a webinar on Understanding The World of Cognitive Computing. Semantic technology naturally came up during the session, which was moderated by Steve Ardire, an advisor to cognitive computing, artificial intelligence, and machine learning startups. You can find a recording of the event here.
Here, you can find a more detailed discussion of the session at large, but below are some excerpts related to how the worlds of cognitive computing and semantic technology interact.
One of the panelists, IBM Big Data Evangelist James Kobielus, discussed his thinking around what’s missing from general discussions of cognitive computing to make it a reality. “How do we normally perceive branches of AI, and clearly the semantic web and semantic analysis related to natural language processing and so much more has been part of the discussion for a long time,” he said. When it comes to finding the sense in multi-structured – including unstructured – content that might be text, audio, images or video, “what’s absolutely essential is that as you extract the patterns you are able to tag the patterns, the data, the streams, really deepen the metadata that gets associated with that content and share that metadata downstream to all consuming applications so that they can fully interpret all that content, those objects…[in] whatever the relevant context is.”
The University of Iowa is looking for a Metadata Analyst in Iowa City, IA. Responsibilities of the position include the following: “Lead the Cataloging-Metadata Department’s efforts to provide non-MARC metadata for the Libraries’ resources, explore innovative ways to enhance existing metadata, and contribute to making the Libraries’ digital content more readily discoverable. Recommend and develop descriptive and administrative metadata schemas appropriate for diverse digital collections in collaboration with Special Collections and Preservation Department personnel, subject specialists, catalogers, and staff from the Libraries’ Digital Research and Publishing Department, serving as a resource for colleagues on metadata issues and practices, the definition of data elements, metadata usage, and mapping between metadata schemas.” Read more
Daniel Newman of Forbes recently wrote, “Businesses today are largely online and they have in droves taken their web presence from where it was a few years ago which was likely an “Online Brochure” to some type of second generation website that considers trends such as social media, content marketing, and of course search engine optimization. The reason we as business owners do all of this isn’t because we love technology (not all of us, at least), but rather because we know that people are doing more and more of their research about what they want to buy, and who from, online.” Read more
Derrick Harris of GigaOM reports, “Twitter has acquired a stealthy computer vision startup called Madbits, which was founded by former New York University researchers. Clément Farabet and Louis-Alexandre Etezad-Heydari. Farabet is a protégé of Facebook AI Lab director and New York University professor Yann LeCun, while Etezad-Heydari was advised by Larry Maloney and Eero Simoncelli.” Read more
Like the oil and gas itself, data from oil and gas operations associated with the Norwegian Continental Shelf (NCS) is also flowing. Through a number of semantically enabled hubs, it is getting integrated, refined, and distributed to different parties. EPIM, the Exploration & Production Information Management Association, is implementing its vision of a shared suite of knowledge based-applications for the Norwegian Oil & Gas industry built using semantic web standards and the domain concepts from ISO 15926 [Wikipedia].
In this brief article, we give an overview of the three applications EPIM currently in deployment (shown in the graphic below).
In building and deploying these applications, some key features and insights applicable to other applications that involve data integration across diverse systems emerge:
- A semantic ecosystem needs to accommodate flexible co-existence with other technologies, notably XML and JSON. All applications in EPIM’s vision of integration involve interoperability with these and other technologies;
- ISO 15926 has been effective for supporting EPIM’s reporting needs, but can present a challenge, in terms of its complexity, for efficiently harnessing it within evolvable, model-driven solutions. The successful work with these models demonstrates that semantic web standards are sufficiently mature, rich and powerful to handle very complex models;
- Model-driven approaches using semantic technologies, especially SPARQL and technologies that build on it, are highly effective for extensible applications. Development and deployment responsiveness to changing requirements proved to be very rapid.
Indiegogo is searching for a Software Engineer – Algorithms/Analytics in San Francisco, CA. According to the post, “We are looking for a talented software engineer who loves data—learning from it, building things with it, and cultivating it. Crowdfunding is an emerging, disruptive industry and the data generated by our users funding campaigns is massive, interesting, and its utilization will help impact the way people raise money all over the globe. Are you passionate about designing and implementing data services and algorithms? At Indiegogo, we process a new contribution every 0.3 seconds and manage terabytes of data in our rapidly evolving data warehouse—and that’s just the beginning! We have immense belief in being data-driven in our daily decision making process and our analytics platform holds the key to unlocking the best user experience and long term growth potential.” Read more
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