The First ETL Platform for Unstructured Data

Over 85% of Enterprise data is unstructured dark data.  Dark because it can’t be used in decision making. Our solution:  (1) EXTRACT the meaning contained in Dark Data, (2) TRANSFORM the meaning into actionable knowledge data and (3) LOAD the knowledge data into existing SQL data warehouses, marts or lakes.  Visualization, Analytics and Big Data solutions work as usual.  We can do this because we are the world’s largest producer of taxonomic content for Intelligent Solutions.

Intellisophic is building the largest social interest directory of web content on a blockchain and cyber currency platform.  LINKAPEDIA


Experts agree that up to 85% of enterprise’s most valuable data is unstructured; data which is locked in documents, email, web-pages, call center records, CRM sales notes, news feeds, resumes, reports and free-text fields within structured records. This information is arguably the most important data an enterprise owns. Unfortunately, due to the complexity of systematically understanding this information, it has been mostly ignored by the Enterprise Applications in use today.

  • Enterprise Search & Retrieval
  • Categorization & Classification
  • Portal Infrastructure
  • Content & Knowledge Management
  • Data Warehousing
  • Business Intelligence
  • Compliance Management
  • Social Networking
  • Electronic Discovery
  • Government Intelligence



Taxonomic content is the key to next generation Content Intelligence solutions. Building a taxonomy for most organizations can take 2-3 hours per concept, resulting in taxonomies too small and restricted to cover the entire business effectively. Previous attempts at automation failed to provide taxonomies with the embedded knowledge that experts provide.


Guide to Concept Taxonomies

Taxonomic content is the key to next generation Content Intelligent solutions. Intellisophic provides taxonomic content to fuel content intelligence applications. Taxonomic content is critical to enterprise applications which leverage knowledge trapped in unstructured data such as documents, emails, corporate correspondence, reports, memos, call center notes, CRM notes, contracts, IRC chatter, instant messages, web pages and […]

View more

Leveraging Collective Knowledge

Taxonomies are well accepted knowledge tools for large-scale text indexing. But taxonomies in practice are implemented as shallow hierarchies for navigation and categorization, or as controlled dictionaries and thesauri – all using only a string as the terminal concept representation. This paper presents an approach called orthogonal corpus indexing (OCI) which generates large scale concept […]

View more

Concept Tagging for Data Enrichment