Archives: August 2013

Video: When Will My Computer Understand Me?

Aaron Dobrow of the Texas Advanced Computing Center at the University of Texas recently wrote, “Language isn’t always straightforward, even for humans. The multiple definitions in a dictionary can make it difficult even for people to choose the correct meaning of a word. Katrin Erk, a linguistics researcher in the College of Liberal Arts, refers to this as ‘semantic muck.’ Enabled by supercomputers at the Texas Advanced Computing Center, Erk has developed a new method for visualizing the words in a high-dimensional space. Instead of hard-coding human logic or deciphering dictionaries to try to teach computers language, Erk decided to try a different tactic: feed computers a vast body of texts (which are a reflection of human knowledge) and use the implicit connections between the words to create a map of relationships.” Read more

Semantic Tech in the Classroom of the Future

Thomas Zadvydas of The Deal recently wrote, “Venture capital investors are going to school on the education sector, hoping to help drive changes in the primary, secondary and post-secondary systems. According to a July analysis done by Chicago education-focused advisory shop GSV Advisors LLC, there were 168 venture and growth placements in the education sector in 2012, as compared to 80 two years earlier. And the MoneyTree Report, an analysis of Thomson Reuters Corp. data by PricewaterhouseCoopers LLP and the National Venture Capital Alliance, venture capital investment in education businesses has grown 80% since 2005 to more than $632 million in 2012. ‘Education technology is a hot space. Many VC funds are active here,’ said partner Emilio Ragosa of law firm Morgan, Lewis & Bockius LLP. He cites Union Square Ventures, First Round Capital and FirstMark Capital as particularly energetic participants.” Read more

Semantic Web Jobs: Automation Technologies, Inc.

Automation Technologies Inc. LogoAutomation Technologies, Inc. is looking for a “Senior Java Developer with an Ontology background” in the Fort George Meade, Maryland area. The position requires an Active Top Secret/SCI (TS/SCI) with Polygraph Clearance.   This is an additional position added to the ATI team.

While the main role is Java development, the person in this role “partners with senior customer leadership to provide strategic support to help organizations improve performance by using ontologies, triple stores and reasoning for analyzing situations, identifying gaps, and proposing solutions. Serves as a performance change agent; influences stakeholder decisions by “selling” strategic performance concepts. Uses a variety of performance strategies, tools, and interventions (i.e., organizational development, needs or trend analysis, needs assessment, training evaluation, etc.) to implement change, monitor solution implementation, and assure organizational success. Develops networks and alliances, and collaborates across boundaries with a wide range of stakeholders. Serves as an expert resource for customer executives. ”

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Deep Learning: What Is It, and Why Does It Matter?

Richi Jennings of NetApp wrote an article for Forbes stating, “Suddenly, everyone seems to be talking about deep learning. Or at least, that’s how it seems to me. It’s a powerful ‘new’ way to analyze big data that allows computers to learn, without being taught. As with any new buzzword, there are plenty of chattering commentators who don’t really understand it… On the one hand, it’s still early days: This is no overnight revolution. On The Other Hand, the Sci-Fi dreams of artificial intelligence seem much closer they did last week, thanks to the tireless work of people like British researcher Geoffrey Hinton.” Read more

How Semantic Tech Can Patch Up Patch

Puneet Mehta of Street Fight Magazine recently wrote, “To meet the promise he made to shareholders, AOL’s chief executive Tim Armstrong is in the process of cutting staff and other costs at Patch in the hopes that his network of hyperlocal sites will be profitable by the end of 2013. His moves may get Patch into the black, but the company must also make substantial strategic changes if it hopes to build a sustainable business. But just making short-term cuts to hit profitability might not be the optimum choice. Patch also has to plant seedlings for mid- and long-term benefits that the company can reap 6-12 months from now. Here are six approaches that Patch can take to patch itself up.” Read more

Decibel Makes Sweet Music With Neo4j Graph Database

At Decibel, provider of metadata-driven music discovery APIs, Neo4j has a featured role in a learning project that is the start of a plan to replace the relational database of 5 million tracks from 1.1 million albums by 300,000 artists – and the world of connections around that data – with a NoSQL graph database. With Decibel’s APIs, customers like the Blue Note Records jazz label, in partnership with developer Groovebug, have turned their record collections into a virtual record store, including track listings, individual track participations, recording session venues and dates.

With the APIs that tap into Decibel and fold into their own programs, developers at record labels, MP3 services and other digital music/entertainment or other venues can connect everything from the debut date of the bootleg Thin Lizzy album, Remembering Part 1, to its number of tracks on it to Sade’s 2011 coverage of Still in Love With You, to accommodate music-lovers’ search and discovery experiences. Or they’ll be able to surface that a piece of classical music in German is the same as another piece referenced by its French name, or that a musician that has gone by three different names in his career is one and the same.

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Semantic Web Job: Healthline

Healthline Networks LogoHealthline Networks is seeking an Informatics Sr. Java Software Engineer in San Francisco, California. This position offers the opportunity to “Work with dynamic Engineering and Medical Informatics Teams to enhance Healthline’s medical ontology. Healthline is a web health technology company, employing tools for the future.” The Responsibilities include: “Design and implement algorithms for integrating medical standard dictionaries into Healthline ontology; Develop data mining processes to create our Semantic Network; Work on an authoring tool that allows Medical Informatics Specialists to successfully and easily edit our ontology; Read more

Translation Software Has Its Place, But Also Its Risks



Anne Merritt at The Telegraph asks the question, How reliable is translation software?

Merritt describes translation software from Google and Microsoft, noting that they both “use a type of computational linguistics called Statistical Machine Translation.  This method uses vast databases of human-translated documents…to track patterns in the translations and draw parallels between traits of the languages. Rather than a word-by-word dictionary translation, this technology looks at word combinations and common patterns, so it can estimate the conjugations and structure of a text. In theory the more translation data it obtains, the more refined its pattern-tracking can become, so the translation software is constantly improving.

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TrustYou Expands Into Restaurant Space

Dallas, USA and Munich, Germany – August 15, 2013 –TrustYou, an online reputation management (ORM) market leader specializing in the hospitality industry, has expanded into the restaurant space.  Bringing its 360-degree solution to aggregating and analyzing increasingly important online reviews and social media content to the culinary world, TrustYou’s holistic approach delivers superior semantic analysis and a proven track record of increasing reviews, distributing content across multiple platforms and, ultimately, driving revenue.  Read more

It’s Time To Take On Temporal Data Management For Semantic Data

Mankind has been trying to understand the nature of time since, well, since forever. How time works is a big question, with many different facets being explored by scientists, philosophers, even social-psychologists. Semantic technologists, however, are focusing a little more strategically, considering temporal data management for semantic data.

At the Semantic Technology and Business Conference in NYC, coming up in early October, Dean Allemang, principal consultant at Working Ontologist LLC will be hosting a panel on the topic of managing time in Linked Data. Relational database systems long have been tuned into dealing with bi-temporal data, which changes over two dimensions of time independently – that is, valid (real world) and transactional (database) time. Not so with RDF databases. But many institutions, in fields ranging from finance to health care, have no desire to go back.

“They’ll lose all the RDF powers they’re familiar with, all the semantic linkages,” says Allemang. “And if you want that kind of distributed data understood in your enterprise, a relational solution isn’t going to help.”

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