semantic
Linguistic Challenges in Foreign Languages
Linguistic traps can be embarrassing and horrific, depending on the guffaw. It could result in more than embarrassment over using the wrong verb when using a language other than your first one. This interesting information came to us from JSTOR Daily in their article, “Friend or Faux? The Linguistic Trickery of False Friends.” Call it semantic…
Read MoreInformation Architect Position Available
To be as helpful as possible to those in the fields of taxonomy, semantic technology, digital archiving, etc., we are sharing with our readers any career opportunities that we find. Even if you are not in the market for a career move, it is always good to stay on top of what is available and how the…
Read MoreMachine Learning Changing Daily Processes
Machine learning continues to be a presence in the business world, especially when it comes to innovative digital experiences. Business 2 Community brought this interesting information to our attention in their article, “10 Ways Machine Learning Will Transform the Everyday Digital Experience.” The web content management system market is changing because more organizations recognize the necessity of…
Read MoreWords That Roll Off the Tongue
If someone asked you to name the most beautiful word or phrase in English, how would you begin to choose? Would your decision be based on the meaning of the word or how it is spelled, or maybe how it sounds? Phonaesthetics is the study of the euphony and cacophony of words without regard for…
Read MoreAddressing Semantic Modeling Challenges
Constellation was recently presented with the first ever Project Haystack Award for adoption of Project Haystack methodology. This interesting information came to us from PRWeb in their article, “Project Haystack Award Recognizes Constellation for Adoption of Haystack Semantic Modeling and Tagging of Device and Equipment Data.” The award was presented in front of a packed…
Read MoreWe’ve Come a Long Way
After trying for decades to create computers capable of learning, researchers have developed complicated algorithms that allow computers to learn on a limited scale. Deep learning (DL) is the name used for the process of computers “learning” appropriate responses as they interact with their users, or seek patterns in big data. DATAVERSITY brought this interesting information…
Read MoreAI in Digital Marketing
Digital marketing faces the same challenges from technology changes as any other business. Perpetual growth is what digital marketers are striving for and the target is constantly moving. This interesting information came to us from CustomerThink in their article, “The Future of AI in Digital Marketing.” These challenges pressure digital marketers into the search for the next big…
Read MoreSemantics Plays a Role
In my family, there are several names beginning with “M” and it is inevitable when my mother calls for one, she usually goes through all the names before she gets to the one originally intended. It turns out there is a scientific reason for this humorous and sometimes frustrating error. This information came from the…
Read MoreLearn More About Machine Learning
DATAVERSITY brought this unique learning opportunity to our attention and we wanted to share it with you. Smart Data Webinar: Machine Learning – From Discovery to Understanding will present an overview of machine learning (ML) fundamentals and then show examples and a framework to identify opportunities for ML-enabled understanding. Science and engineering are complementary disciplines, and in…
Read MoreFinding the Value in Standards
The value of standards is about more than just messages. As the standards community rises to the challenges of semantic data, reference data, and metadata, the potential value of standards to business and information architects continues to escalate. FinExtra brought this information to our attention in their article, “Standards are more than messages.” The Standards Forum is…
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