Taxonomy Assessments - Part Two

Taxonomy Assessments -
Part Two
February 9, 2012

Access Innovations, Inc.
Leveraging Your Content Semantically
Jay Ven Eman, Ph.D., CEO
j_ven_eman@accessinn.com
www.accessinn.com
www.dataharmony.com
+1.505.998.0800
Albuquerque, NM

© 2012. Access Innovations, Inc. All rights reserved.

Indexing
 Subject term assignment
 Permanent meta-data to indexed object
 Used for retrieval and evaluation
 Processes
• Manual
• Publisher
• 3rd party aggregators
• Authors
• Automated methods


Integration / workflow
API’s, Client/Server,
Author Submission Web Services, HTTP-TCP/IP
System

Books
Content
Repository “A”
Or Intermediate
Conference Processes
Proceedings

Content
ETC.
Repository
“B”, etc.
Thesaurus
M.A.I.
Master

Web Data Harmony
Sites MAIstro Server

Classification System


Select the document collection
CMS

Please select the database and the the document directory to load


CMS


Sample unstructured document


Run the documents through a metadata extraction
process to create well-formed, rich XML

• Automatic (per doc template)
• E.g. Dublin Core Metadata
• Bibliographic citation


Automatically add the taxonomy
terms

Entity extraction: People,
Places, Things
Conceptual indexing: using the
taxonomy


Classification Process or Assigned Indexing
<Anchor><Date>09-14-11</Date>
09-14-11
<TI>“Solving the Challenge”</TI>
“Solving the Challenge”
<BLH>By</BLH>
By Jay Ven Eman
<Author>
<AU_FN>Jay</AU_FN>
The process of indexing
<AU_MI></AU_MI>
a content object begins
<AU_LN>Ven Eman</AU_LN>
with…
</Author>
<Body>The process of indexing a content
object begins with…</Body>

<Subject>Indexing</Subject>
<Subject>Thesauri</Subject>
<Subject>Standards</Subject>
<Subject>Classification</Subject>
Unstructured
</Anchor>

Structured

Thesaurus
M.A.I.
Master
Content
Data Harmony Repository
MAIstro Server e.g. Database
Classification System

Indexing
 Indexing measures
• Indexing experts
• Subject matter experts (SME)
• Hits, misses, & noise
• 85% hits
 In conjunction with taxonomy measures
• Over & under used terms
• Over & under indexed content


Indexing & Search Metrics
 Hit, Miss, Noise
 Subjective
• Relevance
• Aboutness
 Statistical
• Precision
• Recall
• Level of effort


Hit, Miss, Noise
 Hit – exactly what a human indexer would use
 Miss – human indexer would use, but system
did not assign
 Noise – system assigned, but human did not
• Relevant noise – could have been assigned
• Irrelevant noise – just plain wrong


Subjective
 Relevance
• Reflects how akin it is to the users request
 “Aboutness”
• Reflects the topical match between the document
content and the term
• How well the topic describes what the document is
about
 Varies with level of conceptual terms vs. factual
terms in the thesaurus


Indexing
 All content types & sources
• Inventory control
• Everything in, everything out
 Document types
• Articles
• Proceedings
• Corporate


Link to Community Resources
(Source: Helen Atkins, AACR)
CME
Upcoming
Other Activity on
Conference
Journal Topic A
on Topic A
Articles on
Topic A
Job Posting
Journal for Expert
Article on on Topic A
Topic A

Grant Available Podcast Interview
for Researchers with Researcher
Working on Working on Topic A
Topic A Author Networks
Social Networking
SME – Topic A


Indexing with Data Harmony® M.A.I.™
 Rule base development
• 80/20 rule
• Indexing objectives
 GUI
 Time-to-market
• Level of effort to build
• Level of effort to maintain
• Less than all other alternatives when
indexing for high precision & recall


Updating Rule Base
 Automatic for matching rules when using
Data Harmony MAIstro™
 80/20 rule
 Re-index when 5% to 10% changes to
taxonomy – arbitrary ranges:
• Monthly with small databases – 5k to 20k
• Quarterly with medium – 20k to 1 million
• Annual with large – greater than 1 million
 Depends on search software, too


NAMES


What’s in a name?
 Juliet: "What's in a name? That which
we call a rose
 By any other name would smell as
sweet."
 Romeo and Juliet (II, ii, 1-2)


Magnitude of the Problem:
Facebook - 700 Million Users Projected for 2011(Open-First)

700 Million Names

How will your boss, peers,
anyone ever find you?


What’s in a name?
 My name Jay Ven Eman
Ven Eman, Jay
<First_Name>Jay</First_Name>
<Last_Name>Ven Eman</Last_Name>
 Name variants  Aliases
Jay Von Eman William Henry McCarty
Jay Van Eman Henry Antrim
Jay van Eman William H. Bonney
Jay ven Eman Billy the Kid
Jay Veneman  National & Cultural
Jay Venema Conventions

Names
 Computationally & editorially intense
 Author submissions
 Membership records & the like
 Industry initiatives – ORCID, VIVO
 Subject term disambiguation
 Inventory control basics apply here, too
 Difficulty level is high
 Constance maintenance needed


Taxonomy Assessments -
Part Two
February 9, 2012

Thank you! Questions?
Access Innovations, Inc.
Leveraging Your Content Semantically
Jay Ven Eman, Ph.D., CEO
j_ven_eman@accessinn.com
www.accessinn.com
www.dataharmony.com
+1.505.998.0800
Albuquerque, NM


Taxonomy Assessments - Part Two

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