2. Who is SemanticV? SemanticV provides concept oriented information tools Concept Discovery and Learning Concept Oriented Search Content Dissemination, Feed Management Dynamic Tagging Meaningful Information Management
3. What is Stingray? Stingray is a concept oriented analysis engine Learns meanings for words based on how they are used Explores information using concepts Discovers themes in a body of text Concepts are dynamically discovered, human readable, weighted tags “athletic, basketball, football, longhorn, baseball” This concept is specific to Enron email “midfielder, striker, goalkeeper, plays, winger” This concept is specific to Wikipedia
4. Evolution of Organization Hives platypus Culture Multicellular Cells Bugs Utopia Societies Animals Molluscs 6.6 x1011 BC 3.14 x109 BC now Barely wired together things… Y2K 50 BY2K now PCs myspace Web 4.0 google twitter Machines TCP/IP Web 3.0 Web 1.0 Web 2.0
5. Putting Together a 3.0 Web The physical side of Web 3.0 RDF, OWL Deep structuring The spirit of Web 3.0 Data as knowledge Meta Data as classification Dynamic vocabularies allow for dialect and jargon Contributed by people Contributed by Stingray
6. Semantics of ‘Money’ Compared Wikipedia bankrupt, debts, invested, financially fund, funds, funding pay, paying, paid charitable, fundraising, generous, donations buy, buying, purchase, sale currency, dollar, dollars, circulation, cent, money discovers, finds, learns, realizes, decides, tells stealing, stole, accidentally, jewel bank, banks, savings, credit kidnapped, kidnapping, hostage Enron Email hurt, lives, americans, dealings, repair paid, paying, payments, payment, owed event, facts, fast, usual, availability, exercise billions, debts, freeze, forced, bills, taxpayers candy, thoughts, living, brain, entertainment automatic, strike, abandon companies, investors, private, shareholders,fund commissions, households, calls, less, becoming com's, hot, cheap Stingray reveals conceptual use and various meanings based on a words use in a document set.
7. Semantics of ‘Tiger’ Compared Wikipedia leopard, lion, zoo, gorilla, elephants, wolf golfer, golfers, tour tank, tanks, armored gypsy, havilland, tiger stripe, stripes, ribbon, white, diagonal, patches Enron Email christie, wharton, discuss, agenda interns, summer, internship, celeste, campus emerson, motors, coke, crown, quebec piazze, tiger, management crazy, dead, pdq, race, humor slated, stay, semester athletic, basketball, football, longhorn, baseball courses, theory, undergraduate, students foregoing, thereto, sunrise Wikipedia’s conceptual space is more like a formal taxonomy for English. Enron’s concepts span the informal language for a particular sub culture.
9. Semantics of ‘Love’ Compared Wikipedia lover, lovers, loving, reunited, intimate, stranger gotta, wanna, gonna, shake, alright ballad, duet, rendition, lyric, ballads, dion boyfriend, girlfriend, friend, jealous, meanwhile liked, loved, likes, fun, favorite, herself tragic, romantic, shakespeare, death, heroine relationship, relationships, friendship, affection feeling, feels, felt, feelings Enron Email mind, sound, given, spirit, appearing, evidence gossett, kam, baumbach, keiser, mclaughlin lubbock, odessa, amarillo, birmingham o'neal, winfree, bryan, venturatos, phillip false, god, ha, love friends, try, talk, i'll gives, older, evaluate, parents, child, scenario father, mother, heaven apple, cypress, ash, pleasant, tender, tree Visit www.SemanticV.com to see how ‘love’ is used in the King James Bible.
10. Semantics of ‘God’ Compared King James Bible shalt, thou, thy, thee ye, your, you me, my, mine christ, jesus, grace, apostle us, we, our, ourselves Movie Scripts my, your, have thank, yes, hello, mr, please, sorry hey, yeah, okay, thanks, oh fuck, fucking, shit thee, thou, thy, soul, art, mercutio
11. Initial Deployments Stingray Explorer/Finder Search with concept awareness Stingray News/Tweets Stream Organizer GOrganizer Personal mail management
12. Stingray Explorer - Concept Oriented Search The word apple is seen in many contexts through Wikipedia. Computers, iPods, Fruit and Flavors are the most common concepts.
14. GOrganizer GOrganizer is a concept aware email labeler Learns language patterns based on the dialect of the Inbox Tags mail based on your existing labels