The term smart building references something more than just automation. However, within the smart building industry, there is a significant amount of vagueness and confusion surrounding the term smart. Additionally, the industry is transitioning to a diverse world of autonomous systems, artificial intelligence (AI) and distributed Internet of Things (IoT). Consequently, the building automation industry’s lack of a clear lexicon is becoming a barrier to communication.
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UC Santa Barbara hosts dozens of collections, many of which fall under the purview of the Cheadle Center for Biodiversity and Ecological Restoration (CCBER). The center is applying techniques from computer and information science to revolutionize the use of the immense datasets in their research collections. The center’s director, Katja Seltmann, is incorporating these methods into her work on a $4.3 million National Science Foundation (NSF) initiative for investigating terrestrial parasites.
Considering the hype around knowledge graphs, it was understandable this year’s Taxonomy Boot Camp London (TBCL) included many topics related to it. What were to an extent surprising were the presentations and discussions on the convergence of blockchain and taxonomies.
The volume of content has grown exponentially, leading enterprises to experiment with auto-tagging/auto-categorization solutions utilizing text analytics technologies. However, for several enterprises, there remain many requirements that require manual tagging. Consequently, it is important to ensure when designing a taxonomy that it should facilitate manual tagging.
A correctly designed product attribute schema can increase the findability of products; improve search performance; enable cross-selling and up-selling; enhance the capability of offering solution bundles, and ultimately improve conversions and increase sales. Correct attribute design is a sophisticated process and requires expertise in a range of areas including merchandising, user experience, product information management, e-commerce, taxonomy development, and information architecture.