Semantic Web and Semantic Technology Trends in 2019

That is, the use of Knowledge Graphs in the enterprise will be substantially expanded in key areas including data relationship discovery and exploration, semantic interoperability, and especially Data Governance..Indeed, enterprise-wide Knowledge Graphs that maintain models of collections of entities and their semantic types, properties, and inter-relationships can play a big role to play in addressing the issue..“They provide a uniform framework for Data Governance so that organizations can get value,” says Dave Raggett, W3C Data Activity Lead..Being flexible, evolvable, semantic, and intelligent, Knowledge Graphs support comprehensive (top-down, bottom-up, and middle-out) Data Governance, which Polikoff describes as a lifecycle-centric asset management activity..“To understand and realize the value of data assets, it is necessary to capture information about them (their metadata) in the connected way.” A Data Governance environment must represent assets and their role in the enterprise using an open, extensible, and “smart” approach, Polikoff says..Knowledge Graphs are foundational to Data Governance because they catalog diverse enterprise data by capturing their technical and business context and meaning through connections across all assets in the enterprise ecosystem, she says..“Knowledge Graphs are an ideal and, arguably, the only viable foundation for bridging and connecting enterprise metadata silos.” Semantic Momentum Amazon’s debut of Graph Database service AWS Neptune in May has turned the spotlight on Graph Databases for creating interactive graph applications..Preview customers used it to build everything from Knowledge Graphs to social networks to recommendation engines..“Amazon’s release of AWS Neptune was a very validating announcement for most of our clients, even those who are not using AWS,” McComb says..Tom Sawyer Perspectives was chosen by the Amazon Neptune team to support the Graph Database service with an integrated solution for building applications to visualize and analyze data and connections..On the point of the future of graph visualization apps, Aasman notes that: “Most graph visualization applications show network diagrams in only two dimensions, but it is unnatural to manipulate graphs on a flat computer screen in 2D..Modern R virtual reality will add at least two dimensions to graph visualization, which will create a more natural way to manipulate complex graphs by incorporating more depth and temporal unfolding to understand information within a time perspective.” Given the increase in the use of Graph Database, the whole category will be prominent in 2019.. More details

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