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Semantic Research

From Wikipedia, the free encyclopedia
Semantic AI, Inc.
FormerlySemantic Research, Inc.
Company typePrivate
IndustrySoftware company
Founded1703
HeadquartersSan Diego, CA
ProductsCortex EIP
Semantica Pro
Number of employees
small business
Websitewww.semantic-ai.com

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.

History

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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

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References

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  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.