How taxonomies help interpret big data in business terms
The key to understanding big data is words. They are the basis for modeling, integrating, governing and querying in a data ecosystem. Therefore, organizations can use taxonomies—classification of words and their hierarchies, to express big data to their business users in the language or in the terms they will understand. Furthermore, when taxonomies are used […]
Read moreInvestigating the success factors behind ECM system implementations
Organizations have to overcome many challenges while deploying an enterprise content management (ECM) system. The challenges are many and as diverse as determining the content, business processes, the technology to be used and integrating the ECM system with legacy systems. While the private sector has a growing industry and community for ECM, there is very […]
Read moreA look at some taxonomy design best practices
While discussing best practices for different taxonomies, Heather Hedden clarifies that the standards remain the same for taxonomies and thesauri across all subjects. What might vary are the best practices for designing taxonomies for different subjects and content. Each organization has its own policies and guidelines, just as it has taxonomies and best practices for […]
Read morePutting smart content to work through smart systems
Media and entertainment companies need to take stock of how they are leveraging content because it is critical to financial success. They have to look beyond serving the right content in the right format through the right channels to the right people and focus on moving all of it quickly through the digital supply chain. […]
Read moreLeveraging vehicle metadata to nail evidence
An interesting instance of how the transportation industry is using vehicle metadata such as vehicle speed, location, braking habits and other information along with videos to gather evidence. In the transportation industry, video evidence can sometimes point to a substantial liability claim payout. In the past searching through videos to locate the evidence, would take […]
Read moreIs diversity an opportunity for scholarly publishing?
There are numerous reports on how businesses have benefitted from diversity in terms of gaining a competitive edge, developing new markets and ultimately bolstering the bottom line. Can the scholarly publishing industry gain similar if not better benefits from diversity? According to a panel discussion on diversity in the scholarly publishing industry that took place […]
Read moreThe Society for Scholarly Publishing announces topics for the 2018 SSP Webinar Series
The Society for Scholarly Publishing (SSP) webinar series covers timely topics throughout the year. This year too, SSP has identified thought provoking topics that will stimulate discussion among those involved in the diverse facets of the scholarly publishing field. For many professionals in the editorial, production, sales, marketing, and product or project management, publishing IT […]
Read moreHow Cognitive Computing is transforming Knowledge Management and what to do about it
Undoubtedly, cognitive computing and machine learning are going to shape knowledge management, as we know it. This gives rise to a very fundamental question, what to do about it? Paul Nelson, innovation lead, Accenture Analytics and Scott Parker, senior product marketing manager, Sinequa, discuss how cognitive computing is changing knowledge management and what to do […]
Read moreHow does a semantic indexing system based on the title perform against one based on the full-text?
Does a semantic indexing system based on the title equal the performance of a system based on the full-text if the number of samples for training the title-based method is much larger than the number of full-text samples? The answer is important, as it will deepen our understanding of the implications for automatic semantic indexing […]
Read moreBringing a database virtual machine to the world via the graph
The fact that graph is now in the limelight is at least to some extent because of Marko A. Rodriguez—a man who has spent his entire career working in the graph space. His story hints at what could be coming next—a database virtual machine. Rodriguez does not believe that the graph space will battle it […]
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