Peer Recognition

January 21, 2016  
Posted in News, semantic

CIOReview has chosen Semantic Research for its 20 Most Promising Defense Tech Solution Providers 2015. IT Business Net brought this news to our attention in their article, “CIOReview Selects Semantic Research for 20 Most Promising Defense Tech Solution Providers 2015.

This is based on the evaluation of Semantic Research’s solutions that bring together relevant data from multiple and disparate data sources, both inside and outside an organization.

The annual list of companies is selected by a panel of experts and members of CIOReview’s editorial board and recognizes and promotes technology entrepreneurship.

“Semantic Research has been on our radar for some time for stirring a revolution in the Defense Technology space, and we are happy to showcase them this year due to their continuing excellence in delivering top-notch Defense Tech solutions,” said Jeevan George, Managing Editor, CIOReview. “Semantic Research’s solutions continued to break new ground within the past year, benefiting its customers around the globe, and we’re excited to have them featured on our top companies list.”

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.

Free Webinar Featuring Semantic Technology

January 18, 2016  
Posted in News, semantic

Semantic technology is changing so much things, including how users discover information. Often this happens without the users knowledge. If you want to learn more about how this can happen, take advantage of a free webinar offered by SAGE and featuring their LUXID technology.

Content providers across all industries, not just publishing, are making significant investments in proactively suggesting content to users based on what they might like. All this using semantic technology.

This webinar offers information such as:

  • Semantic technology can be used to enrich your content & dynamically tag your metadata
  • How to tackle all your data to efficiently find, share and capitalize on knowledge
  • How to find the connections faster.

The webinar is scheduled for January 28, 2016 at 11:00 a.m. EST. You can register here.

Semantic technology, artificial intelligence, and machine learning continue to evolve and be used in a variety of applications. It has never been more important to have someone with the expertise and knowledge handling your content, developing your taxonomies, and making your information findable. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies to make their information findable.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

Lost in Translation

January 13, 2016  
Posted in News, semantic, Technology

It has always been fun to play with automatic translators and see what they come up with. Kids are even doing it with Siri and other voice recognition systems. We have come an incredible distance but still – Russia is (well, was now) translating Russia as “Mordor” and the surname of the Russian Foreign Minister Sergey Lavrov as “sad little horse.” This interesting and slightly humorous information came to us from BBC in their article, “Google translated Russia to ‘Mordor’ in ‘automated’ error.”

It more properly is translated as “Laurels except in the context of the minister of course where it is his surname. The press is calling this a bug but it isnt really. It is the nature of the automatic translation generation using the content of millions of documents. The source materials were heavily based on Ukrainian press documents at the time of the annexation of the Crimea. The Ukrainian press was full of anger toward Russian and the printed word carried that slant. The same is true when we use automatic translations to capture information from an enemy chat stream or press. They are full of innuendos and special word usage. It makes the systems very easy to “trick”or manipulate whenever the subject knows they are being tracked. If they understand the algorithms – Bayesian, neural net and statistical vectors used to auto generate the text – then it is easy to lead them. The intelligence and information communities should remember that the bad guys know how the systems works and have a vested interest in not being tracked. Code words have been used for many years to try to get around those who would break a system and understand secret missives. 

What is the answer? To my mind controlled vocabularies, cultivated with rule bases, are much more reliable than the automatic systems. Translators which use huge dictionaries behind them are also more reliable than those which depend only on text chatter to pull the definitions of a term.

Google has fixed a bug in the online tool after it began translating “Russian Federation” to “Mordor”. Mordor is the name of a fictional region nicknamed “Land of Shadow” in JRR Tolkien’s Lord of the Rings books. In addition, “Russians” was translated to “occupiers” and the surname of Sergey Lavrov, the country’s Foreign Minister, to “sad little horse”. The errors had been introduced to Google Translate’s Ukrainian-to-Russian service automatically, Google said. The terms mirror language used by some Ukrainians following Moscow’s annexation of Crimea in 2014. Screenshots of the erroneous translations have appeared on social networks in recent days.

‘Automatic translator’

“Google Translate is an automatic translator – it works without the intervention of human translators, using technology instead,” said Google in its statement. Although translations are managed automatically, it is possible for users to suggest alternative translations manually.

However, the BBC understands that this was not how the errors were introduced. Google said that Translate worked by looking for patterns in hundreds of millions of documents but translation remained difficult as the meaning of words was tied to the context in which they were used. “This means that not all translations are perfect, and there will sometimes be mistakes or mistranslations,” the statement added. “We always work to correct these as quickly as possible when they are brought to our attention.” The bug now appears to have been fixed.

Marjorie Hlava, President
Access Innovations, Inc.

Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.

The New Machine Learning

January 13, 2016  
Posted in News, semantic

Machine learning is quickly becoming a mainstream presence thanks mainly to big data. The machine learning landscape is likely to keep changing over the coming year. DATAVERSITY brought this interesting topic to us in their article, “Machine Learning Has Entered the Mainstream.”

Much like the cloud, technologists will continue to re-invent machine learning until it will likely look completely different than it does now.

IBM in particular has shed its dead-end and no-go businesses to make room for all the things big-data-empowered machine learning makes possible. This is a long way from Watson, its machine-intelligence-as-a-service platform.

Most agree that machine learning must be open source from now on. This may seem obvious to some, but such things aren’t always obvious to those on the outside.

With machine learning, all algorithms are best when open by default. It not only makes the work easier to check, it means products that use the algorithms have more transparency about what they’re doing. And it puts the emphasis where it beongs – on the data and on the data sources.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

Technology Can Be Hip

January 12, 2016  
Posted in News, semantic

Technology and the fashion world have come together in one very interesting way. A search engine called Donde Fashion now enables fashionistas around the world to look for clothing, shoe and handbag brands by using artificial intelligence technology. iDigitalTimes brought this interesting news to us in their article, “Donde Fashion’ App Lets You Curate Your Dream Closet Using Artificial Intelligence.”

The search engine is available to consumers through an iOS app, which allows shoppers to visually search for items using factors like color, length and pattern. However, this is different from other search engines because text is not a part of the equation. Instead, users search using visual icons that represent features in an outfit whether it is a cut, a color or a neckline. The user is also able to apply filters like price and brand to discover a product that is perfect for them.

Machine learning depends on the right data. What we refer to as big data and machine learning today will simply be integrated into the fabric (pun totally intended) of computing tomorrow.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

Building Customer Relationships with Analytics

January 11, 2016  
Posted in News, semantic

Everyone knows a business is only as strong as its customer relationships. With social media, those relationships have never been more important. This interesting topic came from Your Story in their post titled, “Customer is king, and SaaS-based TrueSemantic helps companies get his approval.”

TrueSemantic is a Software as a Service (SaaS) product that helps companies collect real-time customer feedback across websites, mobile apps, app stores, feedback email, SMS, review sites and social media. They can also analyze the feedback in the context of operational, customer and financial data. Depending upon the depth of information, that can take anywhere from 10 minutes to a maximum of two days. This empowers employees to resolve customer issues in real-time and make customer centric process improvements on a daily basis.

TrueSemantic launched in April 2015 and they plan to open up to a larger customer base by March 2016.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.

 

Using the Right Tools

January 8, 2016  
Posted in metadata, News, search, semantic, storage

Unstructured data has been a problem for awhile. Storing it, managing it, and searching it is a challenge. Information Week brought this interesting information to our attention in their article, “7 Ways Semantic Technologies Make Data Make Sense.”

The volume is easily the biggest challenge. As unstructured data piles up, semantic technologies help organizations drive business value through a better understanding of the data they have, its value, and the relationships pieces of information have to each other.

The variety of data is a close second. Many organizations are struggling to drive value from their unstructured data. Semantic technologies can help companies understand all of their data and the value of it, and enable insights that were not available before. Businesses are also using semantic technologies to dig into the weeds and find the specific information they need with speed and flexibislity. Semantic data analysis is about identifying the meaning and tone in unstructured text.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

The Human Touch

January 8, 2016  
Posted in News, semantic, Technology

Many companies are building machine learning algorithms and despite the challenges this presents, those that are successful have not totally eliminated the human variation. This interesting information came to us from DATAVERSITY in their article, “Machine Learning and ‘Human-In-the-Loop’ Computing.”

The practice is called ‘human-in-the-loop’ computing. It starts with a machine learning model takes a first pass on the data, or every video, image or document that needs labeling. That model also assigns a confidence score, or how sure the algorithm is that it’s making the right judgment. If the confidence score is below a certain value, it sends the data to a human annotator to make a judgment. When the machine isn’t sure what the answer is, it relies on a human, then adds that human judgment to its model.

Semantic technology, artificial intelligence, and machine learning continue to evolve and be used in a variety of applications. It has never been more important to have someone with the expertise and knowledge handling your content, developing your taxonomies, and making your information findable.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

New Technology, Solid Experience

January 7, 2016  
Posted in News, semantic

A new artificial intelligence technology startup, Semantic Machines, has raised $12.3 million in new funding towards technology that goes beyond understanding commands to understanding conversations. Venture Beat brought this interesting information to us in their article, “Artificial intelligence startup Semantic Machines raises $12.3 million.”

The Conversational AI represents a new paradigm, enabling computers to communicate, collaborate, and understand while accomplishing tasks. The startup is building tools that third-party developers will be able to use.

Artificial intelligence continues to be a popular focus for most of the field. Deep learning involves training artificial neural networks on large sets of data and then getting them to make inferences about new data. This technique has led to advancements in the field of speech recognition.

As this technology continues to evolve and be used in a variety of applications, it has never been more important to have someone with the expertise and knowledge handling your content, developing your taxonomies, and making your information findable.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.

 

The Importance of Semantic Technology

January 5, 2016  
Posted in News, semantic

The importance of effective data management has not changed. The quantity of the data has exploded and requires more space and attention, but it is just as important as it has always been. DATAVERSITY brought this information to us in their article, “Top Trends in Semantic Technology for 2016.”

To do manage the data, organizations are increasingly using cognitive computing to quickly respond to changes in their business and proactively gain insight that can improve productivity. The core of a cognitive system is comprised of the ability to mimic human understanding. Because of this, semantics is and will remain a key technology.

Semantic technology is a cornerstone of any metadata strategy because of its essential role in various phases of the metadata process. It supports the creation of taxonomies based on an analysis of the available content and identifies relevant tags for each piece of content.

Semantic technology does require special knowledge of terminology and coding to reduce errors. Access Innovations, developer of the M.A.I. machine assisted indexing system and specializing in complex coding, tagging, and indexing, provides a range of services that deliver tag integrity.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

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