Semantic_Research

Semantic Research

Semantic Research

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Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National Capitol Region. Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology.[1][2] Its original product is a link analysis software application called Semantica Pro, and it introduced a web-based analytical environment called the Cortex Enterprise Intelligence Platform, or Cortex EIP.

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History

The SEMANTICA platform was originally conceived as a method to help biology students learn and retain knowledge about complex organic structures. Joe Faletti, Kathleen Fisher, and several colleagues in the University of California system created SemNet, a computer program used to draw a network of "concepts" connected to each other by "relations".[3] In the late 1960s, Ross Quillian and Allan Collins used the concept of semantic networks as a way of talking about the organization of human semantic memory, or memory for inter-related word concepts.[4][5] Using SemNet, students could employ simple components to build complex networks.

See also


References

  1. US patent 8,700,555, Murphy, et al., "Systems and methods for pairing of a semantic network and a knowledge sharing repository", issued April 15, 2014
  2. US patent 9,298,702, Faletti, et al., "Systems and methods for pairing of a semantic network and a natural language processing information extraction system", issued March 29, 2016
  3. "Online SemNet Tutorial". Retrieved 17 May 2017.
  4. Fisher, Kathleen M (1992). Kommers, P.A.M.; Jonassen, D.H.; Mayes, J.T.; Ferreira, A. (eds.). "SemNet: A Tool for Personal Knowledge Construction". Cognitive Tools for Learning. NATO ASI Series (Series F: Computer and Systems Sciences). 81: 63–75. doi:10.1007/978-3-642-77222-1_5. ISBN 978-3-642-77224-5.
  5. Gorodetsky, Malta; Fisher, Kathleen M.; Wyman, Barbara (1994). "Generating connections and learning with SemNet, a tool for constructing knowledge networks". Journal of Science Education and Technology. 3 (3): 137–144. Bibcode:1994JSEdT...3..137G. doi:10.1007/BF01575176. S2CID 62635310.

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