Editing Open Mind Common Sense (section)

== ConceptNet ==

ConceptNet is a [[semantic network]] based on the information in the OMCS database. ConceptNet is expressed as a directed graph whose nodes are concepts, and whose edges are assertions of common sense about these concepts. Concepts represent sets of closely related natural language phrases, which could be noun phrases, verb phrases, adjective phrases, or clauses.<ref name="ranlp-conceptnet" />

ConceptNet is created from the natural-language assertions in OMCS by matching them against patterns using a shallow parser.  Assertions are expressed as relations between two concepts, selected from a limited set of possible
relations.  The various relations represent common sentence patterns found in the OMCS corpus, and in particular, every "fill-in-the-blanks" template used on the knowledge-collection Web site is associated with a particular relation.<ref name="ranlp-conceptnet" />

The data structures that make up ConceptNet were significantly reorganized in 2007, and published as ConceptNet 3.<ref name="ranlp-conceptnet" /> The Software Agents group currently distributes a database and API for the new version 4.0.<ref
name="launchpad-conceptnet" />

In 2010, OMCS co-founder and director Catherine Havasi, with Robyn Speer, Dennis Clark and Jason Alonso, created [[Luminoso]], a text analytics software company that builds on ConceptNet.<ref name="NYT">{{cite news|last1=Lohr|first1=Steve|title=The U.S.-Germany Match Through a Social Media Lens|url=http://bits.blogs.nytimes.com/2014/06/27/the-u-s-germany-match-through-a-social-media-lens/?_php=true&_type=blogs&_r=0|access-date=3 March 2015|work=New York Times|date=27 June 2014}}</ref><ref name="WSJ">{{cite news|last1=Rusli|first1=Evelyn|title=Firms Use Artificial Intelligence to Tap Shoppers' Views|url=https://www.wsj.com/articles/SB10001424052702303887804579501800057021822|access-date=3 March 2015|publisher=The Wall Street Journal|date=14 April 2014}}</ref><ref name="Wired">{{cite news|last1=Alba|first1=Davey|author-link1=Davey Alba|title=The Startup That Helps You Analyze Twitter Chatter in Real Time|url=https://www.wired.com/2015/02/luminoso/|access-date=3 March 2015|publisher=Wired|date=12 February 2015}}</ref><ref name="PCWorld">{{cite news|last1=Noyes|first1=Katherine|title=Luminoso to enterprises: Here's what all that chatter really means|url=http://www.pcworld.com/article/2883412/luminoso-to-enterprises-heres-what-all-that-chatter-really-means.html|access-date=3 March 2015|publisher=PC World|date=11 February 2015}}</ref> It uses ConceptNet as its primary lexical resource in order to help businesses make sense of and derive insight from vast amounts of qualitative data, including surveys, product reviews and social media.<ref name="NYT" /><ref name="TechCrunch">{{cite news|last1=Miller|first1=Ron|title=Luminoso Lands $6.5M In Series A To Keep Building Cloud Text Analytics Service|url=https://techcrunch.com/2014/07/02/luminoso-lands-6-5m-in-venture-capital-to-keep-building-cloud-text-analytics-service/|access-date=3 March 2015|publisher=TechCrunch|date=2 July 2014}}</ref><ref name="GigaOm">{{cite news|last1=Darrow|first1=Barb|title=Luminoso brings its text analysis smarts to streaming data|url=https://gigaom.com/2015/02/11/luminoso-brings-its-text-analysis-smarts-to-streaming-data/|access-date=3 March 2015|publisher=GigaOm|date=11 February 2015}}</ref>