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Giora Feldman, CTOAxioma Search, LLC

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Table of Content

Current Search Technologies Status

Axioma’s Search strategy, Solutions & Tools

Future trend and tools

Questions and Answers

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Current Search Technologies

General web search Corporate search Local search Mobile Search Desktop search

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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

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Current Search Technologies Web Status

General IndexBased Search

Engines(Google, Lycos)

Hybrid(Yahoo)

Directories & Yellow Pages

(Open Directory,DMOZ)

Specialized Search(Industry Specific)

User Defined Result Ranking

And Sharing(Axioma Search)

Derivatives(Clutsy.com)

Mainly Meta Search&

Combined Search

Relevancy

Pot

entia

l Mar

ket

Siz

e

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Current search technologies Search Pipeline

The textual search engine workflow

Crawl using bots

(Web / File System / DB /

etc..)

Parse – Extract Text and Meta Tags

(HTML/PDF/WORD/JPG/etc...)

Index and Store the text keywords and meta data.Optionally apply ranking algorithms/ Page Rank / synonyms / stop words /

dictionaries / etc..

Search – Query the

index

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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.

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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/webSearch.html

Live: http://msdn2.microsoft.com/en-us/library/bb251794.aspx

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Axioma Vision on the Future of Search

GeneralSearch

User DefinedRelevancyContext

Platforms

LeveragedSearch

(communities)

Leveraged Search withLeveraged Search withUser Define RelevancyUser Define RelevancyOn multiple platformOn multiple platform

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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

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Axioma Clusters

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

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Axioma User Defined Search Examples

http://demo.axioma.com

Madonna Marine Biology Soap

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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

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Axioma MottoExamples

http://search.axioma.com

Usage examples:

Dentist is looking for information on ceramics / DentalProducts.net

Ivy League example Madonna Education example

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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.

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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.

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Axioma Search CommunitiesExamples

Extending / Inheriting Ivy League

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Web Site SearchExample

IBM http://demo.axioma.com/search.htm?

keywords=server&site=ibm.com

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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

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Long term vision – Search 3.0

Full Convergence of Desktop / Email / Intranet / Web and Mobile searches

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Mobile Search

UI and technology constrains Potential for voice control. Powerful location awareness services.

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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

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Axioma Search

Thank you for your time and attention

Contact Information:

Phone number - 03-7687862 

Giora Feldman, CTO – giora@axioma.com

Elan Bitan, EVP – bitan@axioma.com