The European Telecommunications Standards Institute (ETSI), a European Standards Organization, announced the release of three new specifications for the smart cities, industry, and manufacturing, and smart agriculture and food chain domains. This is in addition, to the first three Smart Applications REFerence (SAREF) ontology specifications for energy, environment, and buildings. By enabling interoperability, these standards will contribute to the development of the global digital market.
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In spite of the widespread use of knowledge graphs, defining the right structure and populating it with data is still a challenge. As a result, enterprises fail to maintain the knowledge graphs after the initial burst of enthusiasm. Consequently, usage becomes minimal, and the knowledge graphs virtually cease existing, leading to a problem described as the ontology problem. This article offers two methods to solve the ontology problem by approaching it in a distributed manner.
Enterprises can mold digital asset management (DAM) into an interactive central repository of customer experience content by leveraging taxonomy and metadata. Anjali Yakkundi, product-marketing director at Aprimo, details how taxonomy and metadata do that by making content in DAM searchable and discoverable.
A highly debated topic during enterprise content management initiatives is how to establish a document-numbering standard. Discussions revolve around the format of the number in a document, the intelligence the number should hold, and its adoption and standardization across the organization. In the digital age, however, much of the reasoning around the conventional smart numbering techniques are reminiscent of the physical paper era. Therefore, perhaps it is time for organizations to rethink document numbering.
At present, existing tools for mapping networks and modeling operations and failures are not really designed for networks. However, smart utilities are presently in a scenario of multiple network failures that may or may not compound each other in terms of their impact. So, how can smart utilities optimize each element, for example, of an electricity supply grid in real-time, fix things rapidly when any point in the grid fails?