Join us to learn how the combination of Google Search Appliance and conceptClassifier improves search outcomes. Concept Searching’s industry recognized technology, still unique in the market, provides the Google Search Appliance index with automatically generated semantic metadata, based on our core compound term processing, that generates multi-term metadata that represents concepts. If you are using Google Search Appliance or evaluating search options, this webinar will provide highly useful information to understand how conceptClassifier improves search results in any search environment. How does conceptClassifier improve Google Search Appliance results? • Eliminates end user tagging. • Automatically generates keywords and phrases that represent a concept. • Accepts queries in natural language, with the user typing words, phrases or whole sentences, and inter-relationships among content, • Retrieves highly relevant content even if the results do not contain the search string, • Improves dynamic navigation through the use of semantic metadata. • Improves result biasing as the results will automatically include related keywords and concepts. • Eliminates the development of collections as the taxonomy hierarchy can be used to guide users to specific content based on their role and function – this also applies to segmentation. • Can load synonym lists, but are not needed as the taxonomy manager component will recognize synonyms as well as related concepts during auto-classification. The results can be easily and quickly modified by an administrator. • Blacklist and stop words can also be managed in the taxonomy component, without creating and uploading files and eliminating human subjectivity. • Taxonomies are easily tuned and managed by Subject Matter Experts, providing unique features not available in any other taxonomy product.

1. © Concept Searching 2015
Achieving a New Level of Search
Optimization with Google Search Appliance
John Challis
Founder and CEO/CTO
Concept Searching
john@conceptsearching.com
Paul Billingham
Sales Director Europe
Concept Searching
paulb@conceptsearching.com
www.conceptsearching.com
marketing@conceptsearching.com
Twitter @conceptsearch

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Expert Speakers
Paul Billingham – Sales Director Europe at Concept Searching
has been in sales for over 20 years, working primarily within the
document management and workflow industry. He has a technical
background, and his expertise is selling complex technology
solutions.
John Challis – Founder and CEO/CTO of Concept Searching
is an experienced entrepreneur, having had success with several
previous ventures involving the management of unstructured
data. He is the originator of the company’s compound term
processing technology and is the driving force behind the product
strategy.

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Agenda
• Who we are
• What do we do and why you should be interested
• Google Web Search compared to Google Search Appliance
• End user tagging
• How do users search?
• Why do you need conceptClassifier for Google Search Appliance?
• Before the demonstration
• Compound term processing
• Taxonomy management
• Demo – Auto-classification and taxonomy management
• Questions and Answers

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• Company founded in 2002
• Product launched in 2003
• Focus on management of structured and unstructured information
• Profitable, debt free
• Technology Platform
• Delivered as a web service
• Automatic concept identification, content tagging, auto-classification,
taxonomy management
• Only statistical vendor that can extract conceptual metadata
• 8 years KMWorld ‘100 Companies that Matter in Knowledge Management’
8 years KMWorld ‘Trend Setting Product’
• Authority to Operate enterprise wide US Air Force, NETCON US Army,
and Canadian SLSA
• Locations: US, UK, and South Africa
• Client base: Fortune 500/1000 organizations
• Microsoft Gold Certification in Application Development,
Microsoft Business-Critical SharePoint program partner
• Smart Content Framework™ for Information Governance comprising
• conceptClassifier for SharePoint and conceptClassifier for Office 365
• Concept Searching Technology Platform and conceptClassifier Platform
• Add on – conceptTaxonomyWorkflow and conceptClassifier for OneDrive for Business
The Global Leader in
Managed Metadata Solutions

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If we could just use Google Search!
• Google used to search the Internet is not the same as the Google
on the Intranet!
• Internet (World Wide Web)
• Search for a Holiday in Jamaica: Lots of relevant content
• Search for a Specific Microwave Oven: Lots of relevant content
• Intranet (internal company documents)
• Search for a Specific Policy: The Specific Policy is found – it has
a unique number!
• Search for past project notes: You get lots of project notes,
somewhere in the long list is the one specific document you want.
But as you know the specific document you need, you are not
happy with the results.
• Searching for Holiday in Jamaica is very different from looking
for a specific document that you know exists!

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Search Improvement
• A Google Search Appliance text search on its own will not give you
the best search results, because none of the advanced ranking
algorithms available when searching the Web can be used
• In many cases, a simple text search will cause Google Search
Appliance to return too many documents with poor ranking, making
it very difficult to locate the most relevant documents
• Documents should contain good quality metadata to describe what
they are about
• Metadata can then be used to quickly focus the search results via
the faceted search refiners

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A manual metadata approach will fail 95%+ of the time
Issue Organizational Impact
Inconsistent Less than 50% of content is correctly indexed, meta-tagged or
efficiently searchable rendering it unusable to the organization (IDC)
Subjective Highly trained information specialists will agree on meta tags between
33%-50% of the time (C. Cleverdon)
Cumbersome – expensive Average cost of manually tagging one item runs from $4 - $7 per
document and does not factor in the accuracy of the meta tags nor the
repercussions from mistagged content (Hoovers)
Malicious compliance End users select first value in list
(Perspectives on Metadata, Sarah Courier)
No perceived value for end user What’s in it for me? End user creates document, does not see value
for organization nor risks associated with litigation and
non-conformance to policies
What you have seen Metadata will continue to be a problem due to inconsistent human
behavior
The Challenge of Metadata

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The Problem of Manual Metadata Tagging
Root cause of business failures
• Less than 50% of content is correctly indexed,
meta tagged, or efficiently searchable
• 85% of corporate data is unstructured (IDC) and
growing
• End users still spend 2.5 hours per day searching
• Increases risk of a data breach or non-compliance
exposure
• Growing eDiscovery, litigation support, FOIA
requirements and costs
• 67% of data loss in records management is due to
end user error (Prism International)
• Corporations, specifically Financial Officers, will be
held personally responsible for the security, privacy,
reliability, and compliance of information assets
• Most organizations that attempt text analytics fail
(Alta Plana)
What does it impact?
Search, records management,
data security/privacy, migration,
eDiscovery, legal and FOIA,
content management, collaboration,
business social applications,
text analytics

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How Do Your End Users Search?
How do your end users search?
• 56% of searchers constructed
poor queries
• 33% had difficulty
navigating/orienting search
results
• 36% did not go beyond the first
three search results (not pages)
• 91% did not go beyond the first
page of search results
• 55% selected irrelevant results
one or more times
Enterprise searchers spend longer looking
because ‘they know it is there somewhere’
• IDG: 2.5 hours/week/employee
• Ford: 5-15% of time on non-productive information
related activities
Coping mechanisms for poor enterprise search
• Recreate
• Use older assets
• Interrupt a co-worker
• Start without information needed
• Don’t start
Difference between Human and Machine Retrieval
The search engine must accommodate
the different ways that users search
and be able to discern their intent

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The Solution
conceptClassifier for Google Search Appliance
• Automatic metadata generation
• Industry leading technology
• Range of proven platforms
• SharePoint 2007/2010/2013/Online
• File shares
• Web sites
• Documentum
• Hummingbird
• SQL databases
• And now available for Google Search Appliance

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Unique Approach – Compound Term Processing
• Remains unique in the industry
• Ability to identify and correctly weight
multi-word concepts in unstructured text
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Concept Searching
provides Automatic
Concept Term Extraction
Triple
Baseball
Three
Heart
Organ
Center
Bypass
Highway
Avoid

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Taxonomy Management
conceptTaxonomyManager

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Resource Links
• conceptClassifier for Google Search Appliance Product Page
• conceptTaxonomyManager Demonstration
• Compound Term Processing White Paper

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Demo

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Questions?

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Why use conceptClassifier with Google Search Appliance?
Simplified and Effective Search
• Auto-classification of content by concepts
ROI
• Elimination of manual tagging delivers accuracy,
consistency, and quality
• Improved navigation in Google Search Appliance,
by clustering of search results employing faceted
search
• Reduced effort needed by end users, resulting in
time and cost savings

24. © Concept Searching 2015
Thank You
John Challis
Founder and CEO/CTO
Concept Searching
john@conceptsearching.com
Paul Billingham
Sales Director Europe
Concept Searching
paulb@conceptsearching.com
www.conceptsearching.com
marketing@conceptsearching.com
Twitter @conceptsearch