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

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

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

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

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

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

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

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

Defining expanded term space 4. Resulting term set 2k terms IEEE 1.2M documentsSciTech 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 16

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

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

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

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

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

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

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

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 structureSciTech Strategies, Inc. Ordered by division

IEEE T Magnetics Purple – Magnetics heading Orange – all otherSciTech 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 MultipleSciTech Strategies Better Maps Better Decisions Well Formed Data • Semantic Enrichment • Access Innovations • Data Harmony

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

by TSoholt on Nov 07, 2011

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