Found in Space: Creating and Visualizing IEEE Abstract Space for Publication Output

SciTech Strategies, Inc.

Found in Space: Creating and
Visualizing IEEE Abstract Space for
Publication Output
Kevin W. Boyack
Marjorie M.K. Hlava
Feb 26, 2010

Agenda
 Work in progress presentation
 Introduction
» Science mapping background
» Questions with visual answers
 Mapping IEEE thesaurus space
» Expanding thesaurus space to include adjacencies
 Overlay data on thesaurus space
» Compare databases
» Compare journals
» Trends
 Summary

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
2

Science mapping
 30-40 year tradition of science mapping
» Well-established methodologies
» Current computing power and data availability enable large
scale mapping and analysis
 Science maps can/have been created using
» Articles
» Journals
» Authors
» Terms
 Maps used for communication, strategy, planning,
evaluation …

3

4

5

Questions with visual answers
 From a society / publisher perspective
» Which topical areas form our core? periphery?
» Where is the coverage dense? thin?
» Which topical areas are most active? least active?
» Which topical areas seem to be emerging? declining?
» Which topical areas are interrelated? isolated?
» What are the overlaps between journals / segments?
» Where are the potential expansion points?
 From a thesaurus perspective
» What terms are too broadly defined?
» How do actual topical relationships differ from the thesaurus
structure?

6

Preparing the data
 Index 1.2 Million eXplore records
» Using the IEEE Thesaurus
» Using the MeSH - Medical Subject Headings
» Using the DTIC Thesaurus
 Normalize and enrich the XML as needed
 Create an XML / SQL Database
 Look for outlyers
 Massage for images

7

Mapping IEEE thesaurus space
 Simple map – process
» Obtain IEEE thesaurus
» Index IEEE content (assign thesaurus terms to documents)
» Calculate relationships between thesaurus terms
» Map thesaurus terms based on relationships

6k terms
6k terms

IEEE IEEE

1.2M documents 6k terms

TERM MAP

8

Mapping IEEE thesaurus space
 We are more interested in an expanded map that
includes adjacencies to the IEEE data
» Expanded term set shows adjacent white space; opportunities
for expansion
» Similar process to that for simple map except …
» We need additional terms to add
 Criteria for additional terms
» Low occurrence rate in IEEE documents
» Linkage to terms in IEEE documents
» Similar level of detail to current IEEE thesaurus terms
 Where do we find these terms? How can we add them?

9

Defining expanded term space
0. Desired result

6k terms

IEEE
1.2M documents

10

1. Limit IEEE thesaurus

11

2. Select related corpus’

475k patents
14k DTIC

2k terms

IEEE
1.2M documents

24k MeSH
PubMed
525k docs

12

3. Identify related terms

2k terms

IEEE
1.2M documents

13

3. Identify related terms

2k terms

IEEE
1.2M documents

14

4. Resulting term set

2k terms

IEEE
1.2M documents

15

Clustering of terms (loose clustering)

16

Clustering of terms (tight clustering)

17

Remove non-linked MeSH

18

Cluster the term clusters

19

Linearize the term cluster order

20

IEEE corpus distribution over topics

21

USPTO corpus distribution over topics

22

PubMed corpus distribution over topics

23

Summary
 Term space can be mapped effectively
 The mapped space can be used to show distributions
and trends that give answers to questions
» Database distribution comparisons
» Journal / segment distribution comparisons (overlaps)
» Journal / segment trending
» Identify groups of terms that need trimming (rule base changes)

25

Radial thesaurus structure
SciTech Strategies, Inc. Ordered by division

IEEE T Magnetics
Purple – Magnetics heading
Orange – all other


Division I
Division II
Division III
Division IV
Division V
Division VI
Division VII
Division IX
Division X
Multiple


Found in Space: Creating and Visualizing IEEE Abstract Space for Publication Output

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