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Building a Multi-Year Database of AAG Conference Abstracts. André Skupin / Shujing Shu Dept. of Geography / Dept. of Computer Science University of New Orleans. Knowledge Domain Visualization. Why? understand knowledge domains in terms of: Past  how did this research area develop?

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Building a multi year database of aag conference abstracts

Building a Multi-Year Database of AAG Conference Abstracts

André Skupin / Shujing Shu

Dept. of Geography / Dept. of Computer Science

University of New Orleans


Knowledge domain visualization
Knowledge Domain Visualization

  • Why?

    • understand knowledge domains in terms of:

      • Past  how did this research area develop?

      • Present  who are the leading researchers and topics?

      • Future  what will have high priority for federal funding?

  • Who are the users?

    • non-specialists:

      • teaching tool

    • specialists:

      • find trends, emerging topics, potential collaborators

    • b/w specialists from different domains:

      • enable communication about knowledge domains

    • funding agencies

      • research impact analysis


Knowledge domain visualization1
Knowledge Domain Visualization

Example: domain experts



Knowledge domain visualization2
Knowledge Domain Visualization

  • Geographic/Cartographic/GIScience Perspectives on:

    • Metaphors

      • map, landscape

    • Technology

      • GIS

    • Methods

      • objects vs. fields

      • visualizing change

    • Challenges

      • computation

      • cognition


Typical kdv versus kdv based on aag
Typical KDV versus KDV based on AAG


Aag abstracts 1993 2002 f rom unstructured to structured data
AAG abstracts 1993 – 2002from unstructured to structured data

  • Issues:

    • parse documents

      • begin/end

    • parse document components

      • metadata

        • author name, address, email

      • content

        • title, abstract text, keywords

    • variations in format between years

    • variations in format within years

    • author disambiguation


Aag abstracts 1993 2002 f rom unstructured to structured data1
AAG abstracts 1993 – 2002from unstructured to structured data


Aag abstracts 1993 2002 n abstracts by year
AAG abstracts 1993 – 2002n abstracts by year


Aag abstracts 1993 2002 interesting facts
AAG abstracts 1993 – 2002interesting facts

  • abstracts: 22,089

  • authors: 30,589

  • unique authors: ~ 13,521

    • disambiguation of author names difficult

      • same authors counted more than once

        • “Andre Skupin” versus “André Skupin”

      • multiple authors with same name

        • “Michael Smith” versus “Michael Smith”

  • max authors for one abstract: 17

    • Knight et al. (1999) A framework for integrated regional assessment of global climate change. (Penn State)

  • max abstracts for one author: 29

    • Kam-biu Liu, Louisiana State University






  • 2005 AAG Meeting: Sessions on “Mapping Humanity’s Knowledge in the Digital Domain”


    Author change surface michael goodchild
    Author Change Surface – Michael Goodchild Knowledge in the Digital Domain”

    1970 - 1979

    1975 - 1984

    [’75-’84] minus [’70-’79]


    Author change surface michael goodchild1
    Author Change Surface – Michael Goodchild Knowledge in the Digital Domain”

    1980 - 1989

    1985 - 1994

    [’85-’94] minus [’80-’89]


    Aag abstract database future work
    AAG Abstract Database – Future Work Knowledge in the Digital Domain”

    • Tool development and deployment

      • AbstractMap System

        • AbstractMap Manager

        • AbstractMap Viewer

      • scalability to large data sets?

    • Tool application

      • time / geographic space / attribute space

        • cluster emergence/growth/abandonment

        • disciplinary evolution

        • institutional evolution

        • author trajectories

        • links between conference site and topics

      • integrate across disciplines

        • map of science


    The end

    THE END Knowledge in the Digital Domain”


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