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Language Recognition… Searching with Precision PowerPoint Presentation
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Language Recognition… Searching with Precision

Language Recognition… Searching with Precision

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Language Recognition… Searching with Precision

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  1. Language Recognition…Searching with Precision Santa Clara, CA October 31, 2001 Julian Henkin Vice President, Worldwide Customer Services LexiQuest, Inc. Booth # 523

  2. Topics for Discussion • Critical Nature of Search • Importance of Linguistics • Language Recognition • Case Studies

  3. Critical Nature of Search • “At least one-third of your visitors are going to use the search function as soon as they enter your site.” - Improving Your Site’s Search, The Information Standard, August 11, 2000 • “On average, professional users spend 11 hours per week looking for information. 71% said they could not find what they were looking for.” - “Information Management Software,” Lazard Freres & Co. LLC, February 2001 • “Ultimately, the return on investment (ROI) of corporate information systems cannot be solely derived from the cost of building populating and maintaining these systems. True ROI also reflects the ability of all classes of users to effectively use the information.” - “Looking for a Lifesaver?”, KM Magazine, August 1999

  4. Challenges with Today’s Search • Traditional and advanced methods (key word, Boolean searches, statistical and probability algorithms, concept agents, neural networks and pattern recognition) are limited in their ability to retrieve accurate results: • Not intuitive for typical user so full breadth of capability is rarely utilized • Do not provide any level of “understanding” of the text or of the concepts represented by the queries. • Search is based solely or largely on the comparison of the character strings in both queries and text. • Results often include a lot of “noise” (irrelevant results) and “silence” (accurate results are not found). • What if you don’t know what you are looking for? 

  5. Importance of Linguistics • Linguistic-based systems are knowledge-sensitive: the more information there is in their “dictionaries”, the better the quality: • Natural Language interface is very intuitive for users, lets the system do the work • Up to a 400% improvement in performance over traditional search engines (greater relevance, and precision) • Can deliver multilingual and cross-lingual access

  6. How Does Language Recognition Work? The Ladder of Language CONCEPTS Organizes concepts regardless of their language i.e., Table (Fr), Table (Eng), Mesa (Sp), Tavola (It) SEMANTIC Understands the meanings of words i.e., book=to register for a future activity vs. book= set of bound sheets of paper SYNTAX Understands a sentence’s or phrase’s structure and the “roles” of words i.e., subjects, verbs, objects; “to book” vs. “a book” MORPHOLOGY Word structure. Recognizes words (simple and compound) i.e., “to buy”, “bought”

  7. Five KM Activities 2. Codification (Capture, Structured Storage) 3. Discovery (Search, Retrieval) 1. Personalization (Sharing) 4. Creation Innovation LexiQuest Categorize LexiQuest Guide LexiQuest Mine LexiQuest Respond “Knowledge Management is the collection of processes that govern the creation, dissemination, and utilization of knowledge.” “Knowledge is one, if not THE, principal factor that makes personal, organizational, and societal intelligent behavior possible.” “Organizations that have adopted this position (Chief Knowledge Officer) include Hoffman-LaRoche, GE Lighting, Xerox PARC, and several consultancies, including Ernst &Young, Gemini, and McKinsey” 5. Capture Monitor

  8. Suite of Capabilities Users who know what they are looking for and prefer using a search engine. LexiQuest Guide LexiQuest Categorize Domain 1 Limited amount of content Domain 2 Limited amount of content Domain 3 Significant amount and depth of content Users who browse via a directory structure/taxonomy. Many Search Engines now leverage a taxonomy: improved accuracy Users who collectively ask the same narrow set of questions over and over again Enterprise Document Databases, Web sites or Repositories LexiQuest Respond LexiQuest Mine Users who don’t know what they are looking for and need concepts illuminated. (Research)

  9. “Who are the main ISP’s in the Far East?” Linguistic Analysis Accurate Results: Taiwanese Access Service Provider User Experience

  10. Mine: A Research Tool Electronic Commerce NEAR Fraud

  11. Mine’s Native Search 89 Documents

  12. Guide’s Linguistic Expansion “consumers’ fraud protection online” – 21 documents “Swindle” returns this relevant document

  13. Pharmaceutical Example “Cipro” expands to ciprofloxacin hydrochloride

  14. Pharmaceutical Example Antibiotic expansions include ciprofloxicin, Cipro, ciprofloxicin hydrochloride “What antibiotic treats anthrax”

  15. Quantitative Results 400% more Accurate than Current Solutions 60% 50% 40% % of correct answers of all answers retrieved 30% 20% 10% 0% Search Engine 5 15 20 10 30 number of answers retrieved Custom LexiQuest Guide • Ensures all relevant information is retrieved • Reduces “noise” from irrelevant results

  16. Julian Henkin Vice President, Worldwide Customer Services 641 Lexington Ave, 30th Floor New York, NY 10022 212-752-2750 x19 julian@lexiquest.com www.lexiquest.com Booth # 523