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Role of Text Mining in Search Engine

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    • 1. Role of Text Mining in Search Engines IST 345 Term Project Team 3 Fall 2008 Role of Text Mining in Search Engine
    • 2. Agenda Role of Text Mining in Search Engine Text Mining in Search Engine Case Study 1 Introduction 2 Current Trends 3 4 Future Trend 5 6 Conclusions
    • 3. Role of Text Mining in Search Engine
    • 4. Role of Text Mining in Search Engine
    • 5. Role of Text Mining in Search Engine
    • 6. Role of Text Mining in Search Engine
    • 7. Role of Text Mining in Search Engine
    • 8. Role of Text Mining in Search Engine
    • 9. Role of Text Mining in Search Engine
    • 10. Role of Text Mining in Search Engine
    • 11. Really RESULTS How do Search Engine Work? Role of Text Mining in Search Engine
    • 12. 1. New Website is posted, Linked to, or has its content altered Role of Text Mining in Search Engine
    • 13. 2. Search Engine’s Spider Crawl the page Role of Text Mining in Search Engine Goglebot: Google Slurp: Yahoo MSNbot: MSN
    • 14. Skims text, image descriptions, meta data, page titles and URL Role of Text Mining in Search Engine
    • 15. Follow links, count links In and Out Role of Text Mining in Search Engine
    • 16. Search Wiki Engine SEO SEM Web Role of Text Mining in Search Engine Index key terms, count word frequency
    • 17. Why Mining in Search Engine?
      • Overwhelming information in typical user query results
      • Results are only partly related to each other
      • Many users investigate only the two or three top ranked documents
      • Traditional lists of ranked documents do not seem to be sufficient for the exploratory search tasks
      Role of Text Mining in Search Engine
    • 18.
      • Additional techniques are needed to help the users analyze the search results efficiently and drill down to the information they are looking for.
      • Users need to explore the information
        • Discovering new patterns,
        • New entities, and
        • Knowledge they do not even realize they needed
      Role of Text Mining in Search Engine Why Mining in Search Engine?
    • 19. Text Mining
      • Text mining applications today draw on a wide range of techniques and serve many purposes in information management and business intelligence.
      • TM techniques can be organized into four categories:
        • Classification techniques
        • Association analysis
        • Information extraction techniques
        • Clustering techniques
      Role of Text Mining in Search Engine
    • 20. Use of Text Mining in Search Engine
      • Text categorization (faceted search systems)
        • Using multi-dimensional categories to describe (groups of) documents
        • Richer descriptions
        • Expensive to develop the categories
      • Semantic Web Search
        • Linguistic analysis of text
        • Addition to purely statistical techniques
      Role of Text Mining in Search Engine
    • 21. Role of Text Mining in Search Engine
      • Contextualized clustering
        • Group the search results by topic
        • Clustering of documents according to terms found in the documents
      Use of Text Mining in Search Engine
    • 22. Clustering Engines
      • Scatter/Gather
      • Grouper
      • The Lingo system
      • The Clusty/Vivisimo engine (www.clusty.com and www.vivisimo.com)
      • SnakeT
      • HOBSearch
      Role of Text Mining in Search Engine
    • 23. Clusty / Vivisimo Engine Role of Text Mining in Search Engine
    • 24. Role of Text Mining in Search Engine Future Trends
      • Anticipated to expand 1000 times
      • With the introduction of full-text search engines such as AltaVista, Excite, HotBot, Infoseek, Lycos, and Northern Light, the Web can be viewed as a searchable 15-billion-word encyclopedia.
      • Nutch engine is the future search engine
      • Fetch several billion pages per month
      • Maintain an index of these pages
      • Search the index up to 1000 times per second
      • Provide very high quality search results
      • Operate at minimal cost
    • 25. Future Trend
      • Introduction   of full-text search engines such as AltaVista,   Excite, HotBot,   Infoseek, Lycos,   and Northern Light
      • Summarization of online documents
      • More efficient Categorization/Clustering for the search results
      • Entity Extraction by using linguistics and pattern detection
      • Answering intelligent questions
      Role of Text Mining in Search Engine
    • 26. Role of Text Mining in Search Engine Case Study: Data Crow
    • 27. Role of Text Mining in Search Engine Case Study: Data Crow
    • 28. Role of Text Mining in Search Engine Customized Search
      • Music
      • Data Crow contains two separate modules
        • The Music Album and
        • Audio CD module
      • Use one of the online services (MusicBrainz, Amazon, Discogs and others) to find information on your CD and or music files
      • Parse information from your mp3, flac, ape and or ogg file and fill missing information using an online service
    • 29. Role of Text Mining in Search Engine Conclusion
      • Learnt the evolution of Search Engine
      • Efficiency of Search Engine can be increased by using mining techniques
      • Increased demand from customized search
    • 30. Role of Text Mining in Search Engine
      • Which of the following is not a search engine?
        • Google
        • Open Directory
        • Yahoo search
        • Lycos
      • Open Directory
    • 31. Role of Text Mining in Search Engine
      • What search engine has the largest index of listings on the web?
        • Yahoo
        • Google
        • MSN
        • Microsoft
      • Google
    • 32. Role of Text Mining in Search Engine
      • Search Engines and directory are both the same thing because:
        • They both index information
        • They’re both on the internet
        • They’re not the same thing
        • They both search for information
      • They’re not the same thing
    • 33. Role of Text Mining in Search Engine
      • What was the first search engine ever created?
        •   WWW Wanderer
        •   Google; created by Larry and Sergey in 1995
        • Yahoo; created in 1994
        • MSN Search; created in 1982
      • WWW Wanderer: technically not really a search engine, but a pioneer of the crawling process
    • 34.
      • Q: Google is limited to how many search terms in one query:
        •   16
        • 18
        • 13
        • 15
      • 15
      Role of Text Mining in Search Engine
    • 35.
      • Q: How do search engines find out about sites on the Web?
        •   Osmosis
        • Search engines automatically know everything on the Web.
        • Two different ways: search engine spiders index the information, or site owners submit it manually
        • Search engines have special features that enable them to know when your site is uploaded. It's called "crystal ball technology."
      • Two different ways: search engine spiders index the information, or site owners submit it manually.
      Role of Text Mining in Search Engine
    • 36. Role of Text Mining in Search Engine

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