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

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This document discusses creating and visualizing maps of IEEE publication output and abstract space. It describes mapping the IEEE thesaurus terms and expanding the map to include related terms from other sources in order to better understand adjacent areas and opportunities for expansion. Overlaying publication and citation data on the expanded thesaurus map allows analyzing trends, overlaps, and growth areas across databases, journals, and topics. Clustering the terms provides a visual representation of relationships within the abstract space.

Technology Education

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
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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 …

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

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

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

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

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Defining expanded term space
0. Desired result

6k terms

IEEE
1.2M documents

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Defining expanded term space
1. Limit IEEE thesaurus

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Defining expanded term space
2. Select related corpus’

475k patents
14k DTIC

2k terms

IEEE
1.2M documents

24k MeSH
PubMed
525k docs

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Defining expanded term space
3. Identify related terms

2k terms

IEEE
1.2M documents

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
13

Defining expanded term space
4. Resulting term set

2k terms

IEEE
1.2M documents

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
15

Clustering of terms (loose clustering)

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Clustering of terms (tight clustering)

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Remove non-linked MeSH

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
18

Cluster the term clusters

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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Linearize the term cluster order

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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IEEE corpus distribution over topics

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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USPTO corpus distribution over topics

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
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PubMed corpus distribution over topics

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

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)

SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony
25

Radial thesaurus structure
SciTech Strategies, Inc. Ordered by division

IEEE T Magnetics
Purple – Magnetics heading
Orange – all other

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

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

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

SciTech Strategies was tasked with mapping the expanded IEEE document space using an enriched thesaurus to help IEEE understand trends, strengths, and emerging topics within their publications. Access Innovations expanded the IEEE thesaurus by identifying related terms from other sources. SciTech then mapped the relationships between these terms and IEEE documents to provide visualizations to help IEEE with strategic planning and thesaurus improvement.

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

1. 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

2. 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

3. 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 … SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 3

4. SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 4

5. SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 5

6. 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? SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 6

7. 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 SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 7

8. 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 SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 8

9. 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? SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 9

10. Defining expanded term space 0. Desired result 6k terms IEEE 1.2M documents SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 10

11. Defining expanded term space 1. Limit IEEE thesaurus SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 11

12. Defining expanded term space 2. Select related corpus’ 475k patents 14k DTIC 2k terms IEEE 1.2M documents 24k MeSH PubMed 525k docs SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 12

13. Defining expanded term space 3. Identify related terms 2k terms IEEE 1.2M documents SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 13

14. Defining expanded term space 3. Identify related terms 2k terms IEEE 1.2M documents SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 14

15. Defining expanded term space 4. Resulting term set 2k terms IEEE 1.2M documents SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 15

16. Clustering of terms (loose clustering) SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 16

17. Clustering of terms (tight clustering) SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 17

18. Remove non-linked MeSH SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 18

19. Cluster the term clusters SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 19

20. Linearize the term cluster order SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 20

21. IEEE corpus distribution over topics SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 21

22. USPTO corpus distribution over topics SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 22

23. PubMed corpus distribution over topics SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 23

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

25. 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) SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony 25

26. Radial thesaurus structure SciTech Strategies, Inc. Ordered by division

27. IEEE T Magnetics Purple – Magnetics heading Orange – all other SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

28. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

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

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

31. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

32. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

33. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

34. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

35. Division I Division II Division III Division IV Division V Division VI Division VII Division IX Division X Multiple SciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

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

Editor's Notes

This one uses the division labels from the IEEE web site to show the data distribution. Purple of IEEE, red is Mesh, blue is DTIC
Blob plot – 1998 IEEE terms only – size of node relative to number of documents indexing the thesaurus branch below the given term.Colored by IEEE division. Yellow is Division VI – mostly governance and general science/engineering – cross-cutting.
IEEE Transactions on Information Theory
IEEE Transactions on Magnetics
IEEE only – term clusters linearized
Purple – IEEE Transactions on MagneticsBlue – IEEE Transactions on Information Theory
IEEE only. Circular plot showing all IEEE output. IEEE term clusters from linear plot ordered around circle starting at dot (top in linear) and going counterclockwise.
Purple – IEEE Transactions on MagneticsBlue – IEEE Transactions on Information Theory
Purple – IEEE Transactions on MagneticsBlue – IEEE Transactions on Information Theory
IEEE + DTIC (blue) + MeSH (red)Labels indicate positions of key terms and IEEE division numbers

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Editor's Notes