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You Spoke, We Listened – Achieving a New Level of Search Optimization with Google Search Appliance

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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.

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You Spoke, We Listened – Achieving a New Level of Search Optimization with Google Search Appliance

  1. 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
  2. 2. © Concept Searching 2015© Concept Searching 2015 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.
  3. 3. © Concept Searching 2015© Concept Searching 2015 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
  4. 4. © Concept Searching 2015© Concept Searching 2015 • 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
  5. 5. © Concept Searching 2015© Concept Searching 2015 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!
  6. 6. © Concept Searching 2015© Concept Searching 2015 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
  7. 7. © Concept Searching 2015© Concept Searching 2015
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  9. 9. © Concept Searching 2015© Concept Searching 2015 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
  10. 10. © Concept Searching 2015© Concept Searching 2015 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
  11. 11. © Concept Searching 2015© Concept Searching 2015 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
  12. 12. © Concept Searching 2015© Concept Searching 2015 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
  13. 13. © Concept Searching 2015© Concept Searching 2015 Unique Approach – Compound Term Processing • Remains unique in the industry • Ability to identify and correctly weight multi-word concepts in unstructured text 13 Concept Searching provides Automatic Concept Term Extraction Triple Baseball Three Heart Organ Center Bypass Highway Avoid
  14. 14. © Concept Searching 2015© Concept Searching 2015 Taxonomy Management conceptTaxonomyManager
  15. 15. © Concept Searching 2015© Concept Searching 2015
  16. 16. © Concept Searching 2015© Concept Searching 2015
  17. 17. © Concept Searching 2015© Concept Searching 2015
  18. 18. © Concept Searching 2015© Concept Searching 2015
  19. 19. © Concept Searching 2015© Concept Searching 2015
  20. 20. © Concept Searching 2015© Concept Searching 2015 Resource Links • conceptClassifier for Google Search Appliance Product Page • conceptTaxonomyManager Demonstration • Compound Term Processing White Paper
  21. 21. © Concept Searching 2015© Concept Searching 2015 Demo
  22. 22. © Concept Searching 2015© Concept Searching 2015 Questions?
  23. 23. © Concept Searching 2015© Concept Searching 2015 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. 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

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