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Knowledge Graphs for Robust Data Governance - DATAVERSITY
Knowledge Graphs for Robust Data Governance - DATAVERSITY
Enterprises should consider semantic and Enterprise Knowledge Graph technology for their Data Governance efforts. Enterprise Knowledge Graphs describe a linked set of information that meaningfully brings together data and metadata silos.
·dataversity.net·
Knowledge Graphs for Robust Data Governance - DATAVERSITY
Case Study: Semantic Web Ontologies and Geoscience Collaboration Helps the Planet - DATAVERSITY
Case Study: Semantic Web Ontologies and Geoscience Collaboration Helps the Planet - DATAVERSITY
Case Study: In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions about the earth. Ontologies and knowledge graph technology is leveraged with COR to manage and exchange terms and vocabularies that assist scientists in publishing, discovering, and reusing data.
·dataversity.net·
Case Study: Semantic Web Ontologies and Geoscience Collaboration Helps the Planet - DATAVERSITY
Corporate events for everyone - euBusinessGraph
Corporate events for everyone - euBusinessGraph
We’re proud to announce that we have now released the first public release of OpenCorporates’ new corporate events system. This has been a really substantial project that’s been more complex and more difficult than we expected, and threw up many issues and questions along the way. But what we have now is a big step forward for OpenCorporates, and, we believe, ultimately the world’s understanding of companies. First, the headlines: We’ve generated over 420 million corporate events for 170m companies. Around 50 thousand new events added each day on average. Currently features key lifecycle ev...
·eubusinessgraph.eu·
Corporate events for everyone - euBusinessGraph
The Future History of Time in Data Models - DATAVERSITY
The Future History of Time in Data Models - DATAVERSITY
Much (if not all) of the discussion about temporal issues in the last 30+ years have been based on the assumption of the necessity of SQL tables. The narrative for how to build “well-formed” SQL data models is the well-known “Normalization” procedure. Data modelers with my hair color will remember the poster, which was a give-away with the Database Programming and Design Magazine (Miller Freeman) in 1989. The title of the poster is “5 Rules of Data Normalization”. Here is a miniature image of it
·dataversity.net·
The Future History of Time in Data Models - DATAVERSITY
3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): bit.ly/31vf7pw——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc
3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): bit.ly/31vf7pw——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc
3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): https://t.co/3XELwiVDDJ——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc pic.twitter.com/N43Wx3APs2— Kirk Borne (@KirkDBorne) August 9, 2019
·twitter.com·
3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): bit.ly/31vf7pw——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc
Semantic fisheries data (1) – Fisheries Informatics
Semantic fisheries data (1) – Fisheries Informatics
This series of posts describes the process of converting data held in tradition relational databases into a semantic format using a relatively simple example of summarising commercial fisheries sam…
·fishinformatics.home.blog·
Semantic fisheries data (1) – Fisheries Informatics