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Advanced Search

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Examples. http://search.axioma.com. Usage examples: Dentist is looking for information on ... Examples. Extending / Inheriting Ivy League. www.axioma.com. www. ... – PowerPoint PPT presentation

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Title: Advanced Search


1
Advanced Search
  • Giora Feldman, CTO
  • Axioma Search, LLC

2
Table of Content
  • Current Search Technologies Status
  • Axiomas Search strategy, Solutions Tools
  • Future trend and tools
  • Questions and Answers

3
Current Search Technologies
  • General web search
  • Corporate search
  • Local search
  • Mobile Search
  • Desktop search

4
Current Search Technologies - Continued
  • Major innovation in the general web search
    industry was halted in the last 5 years due to
  • Major search engines fight against SEOs,
    polluting and manipulating results
  • Conversion of the major Search Engines firms to
    media and advertising companies
  • Algorithmic ranking improvement curve reached a
    plateau as relevancy currently reached upper
    boundaries of 30-35
  • Focus on adding new search areas like images,
    videos, blogs and maps

5
Current Search Technologies Web Status
6
Current search technologies Search Pipeline
  • The textual search engine workflow

Index and Store the text keywords and meta
data. Optionally apply ranking algorithms/ Page
Rank / synonyms / stop words / dictionaries /
etc..
Crawl using bots (Web / File System / DB / etc..)
Parse Extract Text and Meta Tags (HTML/PDF/WORD/
JPG/etc...)
Search Query the index
7
Current search technologies - The problems
  • Axioma believes that the current bottle neck in
    the search pipeline is in the search results
    retrieval stage.
  • This stage is missing more powerful tools and a
    more powerful UI.
  • The current search concept is enter a search
    term, hope that the desired result is one of the
    top 5-10, if not refine the search term and try
    again.
  • Search is not leveraged searchers cannot re-use
    and share search knowledge gained during the
    search experience of other searchers.
  • Another major problem are SEOs Search Engine
    Optimizers who trick the SEs by polluting search
    results.

8
Axioma Vision on the Future of SearchShort / mid
term Search 2.0
  • Axioma believes that the first 3 stages of the
    search pipeline are a commodity middleware
    infrastructure or will become so in the very near
    future
  • All the major and many 2nd tier search engines
    provide public APIs
  • Alexa http//websearch.alexa.com
  • Yahoo http//developer.yahoo.com/search/web/V1/we
    bSearch.html
  • Live http//msdn2.microsoft.com/en-us/library/bb2
    51794.aspx

9
Axioma Vision on the Future of Search
10
Axioma User Defined Search - Concept
  • Reduce or re-rank a large data set of results per
    search term
  • Identify patterns in this large data set
  • As Excel manipulated numbers so Axioma Searcher
    manipulated search results
  • Tools to accomplish this are
  • Weights to re-rank the results set
  • Clusters to focus and re-rank the results data
    set
  • Free text narrow

11
Axioma Clusters
  • Group the results by
  • High frequency words / phrases
  • File types
  • Domains
  • Locations
  • Languages
  • Modification dates

12
Axioma User Defined Search Examples
  • http//demo.axioma.com
  • Madonna
  • Marine Biology
  • Soap

13
Axioma Mottos
  • Creating vertical search engines
  • Specifying a sub set of the DB.
  • Specifying special rules for the search query.
  • Searching inside bookmarks importing
    del.icio.us bookmarks

14
Axioma MottoExamples
  • http//search.axioma.com
  • Usage examples
  • Dentist is looking for information on ceramics /
    DentalProducts.net
  • Ivy League example
  • Madonna Education example

15
Axioma Search Communities
  • Vertical search engines nexus.
  • Synergy between general web search and focused
    vertical searches.
  • Companies can offer searching their databases
    using a streamlined, familiar and powerful UI.
    Possibly for fee.
  • Companies who block crawlers / bots can create
    search engines for their web sites and receive
    reports who searched it and what for.

16
Axioma Search Communities - Continued
  • Vertical search allows focused advertising
  • Concerns spam in the vertical search engines
  • NLP capabilities to match vertical search engines
    to the search query
  • Admission to Ivy League universities should
    result in searching for Admission in the Ivy
    League Universities vertical search engine.

17
Axioma Search CommunitiesExamples
  • Extending / Inheriting Ivy League

18
Web Site SearchExample
  • IBM
  • http//demo.axioma.com/search.htm?keywordsserver
    siteibm.com

19
The Axioma Corporate Search
  • Auto generating search communities in the
    corporate environment
  • Powerful reports
  • Saving and sharing results (save search results
    to Sharepoint)
  • Periodically monitoring search results for new
    entries
  • Analyze search queries for similar searcher by
    employees

20
Long term vision Search 3.0
  • Full Convergence of Desktop / Email / Intranet /
    Web and Mobile searches

21
Mobile Search
  • UI and technology constrains
  • Potential for voice control.
  • Powerful location awareness services.

22
About Axioma
  • Incorporated in 2005
  • Provider of Search solutions for the corporate
    and for the Web
  • Research and Development is focused on
  • Clustering
  • Leveraging the community knowledge for improving
    results relevancy
  • Dynamic context work flow
  • NLP (natural language processing)
  • Meta searching

23
Axioma Search
  • Thank you for your time and attention
  • Contact Information
  • Phone number - 03-7687862 
  • Giora Feldman, CTO giora_at_axioma.com
  • Elan Bitan, EVP bitan_at_axioma.com
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