Material Detail

Knowledge Representation and Extraction for Business Intelligence

Knowledge Representation and Extraction for Business Intelligence

This video was recorded at 7th International Semantic Web Conference (ISWC), Karlsruhe 2008. Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide business analysts with valuable information or feed statistical BI models and tools. The massive amount of textual and multimedia information available to business analysts makes information extraction and semantic-based digital tools key enablers for the acquisition and management of semantic information. The role of Ontologies is important here, since they promote interoperability and uniform and standardized access to heterogeneous sources and software components. In addition they encode rules for deduction of new knowledge from extracted data. The tutorial will... Show More

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.
hidden