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USE OF SEARCH ENGINES IN CIM IEM 5303 Advanced manufacturing Systems design Term paper Abhijit Hora Masters student,IE & M OSU. Introduction. Internet growth Information Explosion Search Engines Definition Key to information treasure Role of a library catalog.
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USE OF SEARCH ENGINES IN CIM IEM 5303 Advanced manufacturing Systems design Term paper Abhijit Hora Masters student,IE & M OSU 2000 AbhijitHora
Introduction • Internet growth • Information Explosion • Search Engines • Definition • Key to information treasure • Role of a library catalog 2000 AbhijitHora
Need for a search strategy • Search engines have different working principle • Ad hoc approach towards its use • More time spent on search than necessary-frustration • Necessity of systematic strategy to explore the net(WWWSS) 2000 AbhijitHora
WWWSW( world wide web search strategy(1) • Based on classical IE approach of problem solving • Characteristics of the strategy • Universally applicable • Easy to understand • Consistent and precise • Reliable • Stand the changes in technology 2000 AbhijitHora
WWWSS( World wide web search strategy)(2) • Steps in WWWSS • Study and understand the problem • This requires knowledge on part of the user • Define the requirements • Ask Who, How, When, Where, Why questions • Identify proper tools and techniques • Decide upon the type of search engine to choose • Advanced, non advanced search • Decide upon the right level of search topic 2000 AbhijitHora
WWWSS( World wide web search strategy)(3) • Design the search query • Selection of key words • Boolean, Wild cards, truncation and synonyms • Implement the search • Check for typo mistakes • Save the search results using bookmark • Use find on edit menu as a search tool to find keyword on the page • Refine the search accordingly • Change the search engine if required • Go back to step 2(Define requirements) 2000 AbhijitHora
Simulating WWWSS(1) • Peter a Design engineer • Faced with the problem of driveshaft failure • Takes help of web to seek information of possible solution 2000 AbhijitHora
Simulating WWWSS(2) • Study the problem • Peter being a design engineer has knowledge to understand the problem. • Define the requirements • Who\what: Driveshaft, Used in automobiles, quality, customers • How : Wear of steel,spline joint, value engineering,Coefficient of friction- 0. 17 • Why : New design, save market reputation, wrong material • When : During warranty period, Past 10 months, • Where: Field failure, testing labs 2000 AbhijitHora
Simulating WWWSS(3) • Identify proper tools and techniques • Search engine type selected-Google • Advanced search- Being a specialized topic • Level of search- Design basics • Design of query • keywords • quality,wear resistant, steel, material, value engineering, stress, wear resistant • search engines math • Use Boolean provided by advanced search 2000 AbhijitHora
Simulating WWWSS(4) • Implement the search • Type in keywords • One by one • Combination • Uses appropriate time to deal with each page. Discards dead links. • Surf through the links • Learns about new composite material used for coating auto parts • Get feed back • Try's to assimilate the information • Store the search • Book marks the relevant pages related with composite material 2000 AbhijitHora
Simulating WWWSS(5) • Refine the query • Accordingly reframe the query to suit the new information • Repeats step 2 in strategy i.e.Define requirements • Solution obtained • Peter learns about a new low friction co-polymer called Apticote, made of low friction copolymer coating which is wear resistant and applicable on steels. COF=0.18 • It is manufactured by Peoton Industries • He uses this information to study more about copolymer materials • Prepares and presents the report to management 2000 AbhijitHora
Drawbacks • Not effective against spamming • Method used by page authors to trick the search engines by typing in wrong words • Needs more efforts on part of the user • Dependent on the search engine quality • Results are not guaranteed 2000 AbhijitHora
Conclusion • Systematic strategy • Optimization of search process • Uses more time on query formation and less time on actual browsing • Less time spent • 70 % time saved • More accurate results • Produced more relevant results • A powerful approach for a powerful media 2000 AbhijitHora
USE OF SEARCH ENGINES IN CIM IEM 5303 Advanced manufacturing Systems design Term paper The End Abhijit Hora Masters student,IE & M OSU 2000 AbhijitHora